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how to hire best software development company

Once you have determined that your business requires custom-built software, the most essential decision to take is of choosing a precise custom software development company.

There are millions of custom software development companies existing and competing globally. If you fall short to pick the correct company, it will become an obstruction in the accomplishment of your project. To assist you to take the spot on decision, we have considered the eight key elements to be taken into thought for deciding on a well-suited technology partner.

So, how will you select that just right custom software development company which can give the best solutions amongst the rest out there? I am sure that you know there is a lot of disparity stuck between finding a software development company and finding the best software company which match your project requirements.

Brilliant Solutions And Services

Majorly the recognized companies are masters of their work into software development services offering brilliant and competitive solutions. They are all experienced in building software and applications from basic to enterprise levels.

Most of these service providers have invested a considerable period of time in the industry, know the latest trends and are continually competing in different markets for projects. So, these companies need to be highly competitive and actually they are modernizing with time to get recognized as a leading Software Product Development Company.

Consequently, how do you choose that one provider from these many specialists out there in the industry and the marketplaces? It’s without a doubt a very complicated job and should be executed with caution. However, you will find eight key points given below to be useful in selecting your precise software outsourcing partner.

8 Key Considerations Prior To Choosing a Best Software Development Company

  • Understand and Identify Your Precise Requirements
  • Set a Range of your Budget to Decide Accordingly
  • Check the Company’s Technical Capabilities and Proficiency
  • Get Referrals and Check their Reputation in Your Network
  • Determine the Size and Scope of your Software Project
  • How Serious are they to Develop the Project
  • Timeline, After Sales Support and Services
  • Have a Demo and Test Drive with a Prototype

1. Understand and Identify Your Precise Requirements

How can you decide on the best software development company for your project when even you don’t know what you desire? Recognize your business requirements.

You need to have chats with your management, key employees, know about the current issues and well analyze the requisite solution.

Create a clear outline of your software product development solution you want to meet your company’s business and technology objectives. Considering the nature of your project, the technical requirements and specifications pick an offshore or an onshore service provider.

Also, before you pick the company, categorize the issues you are facing with the current scenario or systems. Try to check would the new solution will meet all your needs and is it the type of software that will lend a hand to meet your business objectives.

You can decide on for an offshore or an onshore service provider company relying on your requirements and the outlook of your proposed project.

You also have to ask them about the strength and profile of the software developers for hire.

2. Set a Range of your Budget to Decide Accordingly

Cost is always the most significant deciding factor. Analyzing the overall cost will enable you to know the capacity of investment that will be involved in your project. Also, you need to cross-check with the key stakeholders to decide is it fit to your budget and is it worth the investment or not.

Anyways one needs to determine whether the pricing of the project comes in the decided budget. Unless convinced on the definite ROIs, you don’t want to go insolvent buying an over or a high-priced software that automates only some parts of your current business.

Some vendor companies price their solutions for the utter piece of evidence of overpricing to appear like an advanced and superior company. Do not forget to look for out of sight or supplementary costs in the contract, like added fees for documents management, software set-up, maintenance, and support costing or in-person training charges.

3. Check the Company’s Technical Capabilities and Proficiency

Collect the information about the service provider company with respect to skills, acquaintance, and experience of the team members. Check out their portfolio and explore their working in the most modern technologies in a related domain as your project. Track company’s experience with management of projects in the specific niche, company’s expertise in decoding your needs into fitting solution, the communication efficiency, obedience to deadlines, and the like. Also, check the software product development process they will use to take your project further for final development.

Look for teams offering direct admittance to developers who can converse well with you. Software houses with teams practiced in agile or hybrid agile methodologies are for all time a healthier choice. Have relaxed meetings and get to know each other with online chats, but collect firm information in the course of your dealings, that without a doubt showcases their competence in preceding works.

A company that is innovative or has less experience may not have the aptitude to prevail over tricky challenges that come during the development procedures. However, if the management and staff are at a reasonable level as well as have a high degree of expertise you can try them for your project.

4. Get Referrals and Check their Reputation in Your Network

One of the most excellent ways to know about the company is to get in touch with its customers. Get the clients’ references from the company and congregate the different feedbacks. You can know about the category of projects the company has to hold on, its capacity to meet the quality and timeliness of projects it has delivered.

You can converse with your colleagues, friends and other professionals in your network to know about a mixture of software development companies. This is the preeminent way to get candid feedback about the companies. You can even post queries in different online forums, social media, and professional sites.

Of course, you want to associate with the best custom software development company, but would you go for a company that is not courteous and pleasant to work with? How robust and scalable are their offered services and solutions? Know the company’s suppleness to get on with diverse ambiance by looking at their customer base and client affiliation in the past.

Check the client’s testimonials and reviews on diverse platforms or get connected with one of their clients all the way through social media channels to know their view of the company.

5. Determine the Size and Scope of your Software Project

Is your project big or vast? Not all companies embark on any size of custom software development projects. Some software development companies commit only to large fishes, which provide them with giants and million dollar projects. These are more often than not well-known brands and industry specialists.

While many elegant small to medium-sized companies take multi-year projects which are generally average sized ventures. Such companies’ development arc over a small period of time shall display their know-how and industry perspective. Has the company been rising swift or failing in size or sluggish over this period?

6. How Serious are they to Develop the Project

The company to which you outsource must comprehend to your entire proposed requirement in a way you realize and seek to.

Are they as zealous as you about this particular project? Are they from top to bottom devoted to making a superior product?

Do they have enough time and resources to be invested or are they just doing a task for cash they take from you?

These are apparent from the way they put forward additional features which can be incorporated, potential scopes for the product, or contradict with the idea that is not quite constructive.

However, make sure they back their view with suitable facts and causes that persuade you about their enthusiasm and is not just to ‘make the task simple’ for them.

An aloof and awkward team will guide your project to just a failure.

7. Timeline, After Sales Support and Services

A very vital consideration is the timeline of your software development project. A software project may take much time to get finished. So, you must have a precise project deadline set to get the software developed, for swiftly launching your product in the different marketplaces.

However, you just can’t be expecting the software to be voluntarily developed; it is always intelligent to deal with features for time.

A high-quality custom software development company will work with you the way you desire, make sure you get on-time delivery of defined project milestones and even assist you to make a clever trade-off linking the features and time frame of the project, in case of stiff deadlines.

Even the highly picture perfect solutions offer an assurance of just 99.9999% up-time. Sorry to say, bet there are no 100% just right solutions. Even though too small, there is always a portion of the likelihood that things might go erroneous after project release from the vendor, in particular with the case of software projects.

So make sure your vendor company make available unswerving access to the technical team and propose good quality support, maintenance, technical updates and upgrades along with troubleshooting services for a reasonable period of time even after sales.

Make sure you have the details about the technical support services of the vendor company. Your software might face problems after the delivery, fetching your work to decline. So, discuss about the after-development support services offered by the company.

Also, get suitable agreement on safety and security problems and how you get your data back in case you put down the vendor contract. Look forward to some charges in particular if the data was encrypted, but it shouldn’t make you ruined in any case.

8. Have a Demo and Test Drive with a Prototype

Most companies these days offer a free trial to make certain the excellence of the features, paybacks and real-time usability. You can make sure that the software will meet your business requirements by checking out the obligatory features and functionality during the trial or by taking a demo.

During the trial, feel free to ask your service provider for all the queries and confusions you may have with the requirements and delivery.

Here are some of the Software Demo Questions

  • What kind of technologies and tools will match the project?
  • What other software applications can be integrated?
  • What types of customizations I can expect?
  • What sort of support will I get after the project?
  • Are training and onboarding incorporated? How long does the procedure take?
  • Can I use the software offline?
  • Can I fetch and integrate my precedent project data?
  • Can I measure and report on the performance of my employees?
  • Are there any restrictions on how many products and clients I can have?
  • Can I control what type and level of data my employees are able to see?
  • Can I control what type and level of data my employees are able to see?
  • Why should we prefer you above your competitors?

During every software demo, it’s time to outline whether that current vendor will be able to provide an accurate mix of consistency, functionalities, features, and suppleness.

As your primary stepping stone when setting-up your goal is deciding on the precise custom software development company. A mistake here might lead to shattering outcomes. So, take no probability, do painstaking research and study with a base on the points or factors detailed above.

Final Note:-

If you are looking for the best software development company, then Technostacks Infotech will be a perfect choice. Technostacks is a leading IT company that provides a number of software development services for web, mobile, digital, AR app, VR app, IoT, Machine learning app, artificial based apps and more.

You can check our work here.

For more information, you can contact us. Share your ideas with us. we will make it in reality.

Contact details:-

info@technostacks.com

https://technostacks.com/contact-us

+91 990 901 2616

Written By : Technostacks

Enterprise Mobility Trends

Enterprise Mobility Solution is a budding trend that is rapidly grasped by the global market to enhance the productivity irrespective of the workspace. The organizations who consider mobile application as a top priority are experiencing more numbers of work hours yearly on an average. With the latest trends in digital transformation, integrated innovations and cloud computation, the enterprise mobility is going to play a significant role in 2019.

In the recent years, the focus has been shifted from data models to service models. Mobile apps and portable devices are becoming the cloud for scrambling services. Here you can explore the top enterprise mobility trends of 2019.
  • Function-friendly apps:
    Enterprises are looking towards more specific feature app for both of their employees and customers. Demands for enterprise mobile app has been increasing, which aims to make a particular function of the organization easy instead of pasting the entire features of the desktop site.
  • Virtual personal assistants:
    The trend to develop ‘smart’ application is on top today. And admiring special assistant services offered by Siri, Cortana, and Google Now, more and more enterprises are adopting it widely. The industries are embracing virtual assistant to save time, reduce error and improve the efficiency of the employees.
  • Moving to the cloud:
    Cloud computing has travelled a long journey and now it is established as mature, affordable and reliable service and source of data. The enterprise mobility is quite impossible without adapting to the cloud. All the critical data is saved, shared and operated in the cloud, which makes Enterprise mobility development more flexible and accessible.
  • Bring Your Own Device:
    A novice culture, which is setting the trends for future and laying a platform to explore enterprise mobility. BYOD is widely entertained by the corporate world and more than a trend, it established as norms in many companies. With mobile device management solution, BYOD concept is improving the fluidity of work carried out on devices.
Security Trend In Mobility Solution 2019

With open and mobile data sources and application, enterprise mobility solutions become more vulnerable to the security breach. Effective threat management, hybrid solution for hosting critical apps and control over the devices and cloud would come as a responsibility with the latest trends. Moving towards 2019, we will see security measures like biometric authentication to access data, device or services, tracking device information and location to set the security threshold of the workflows and device protection against malware and viruses. Especially, Android and cross-platform enterprise application would get more IT focus.

For tapping into the latest trend, you need sound professionals as your development partners and Technostacks is the optimum choice in this context. Our experience and expertise both allow you to leverage the latest tools and technology in the cost-effective manner to get highly intuitive Enterprise Mobility Solutions.

Contact

Written By : Technostacks

Google Cloud Vision API

The cloud vision API is used to integrate diverse range of Google Vision functionalities and features. This integration mainly comprises of image labelling, face, logo, landmark detection, optical character recognition (OCR), and detection of explicit content into desired applications.

Functioning with Vision Search Project

While working with the Vision Search project, when a user uploads an image and explicitly request or calls Google cloud vision API, it will return required image related keywords. For instance, if we upload a round chair image, it will automatedly return back with a stool, table, chair, dining room and other such image based keywords.

The cloud vision derives insights from your images with the help of commanding pre-trained API models and with no trouble trains custom vision models using AutoML Vision BETA.

Dealing with Powerful Image Analysis

Cloud Vision provides both pre-trained models through an API and the ability to create custom models. It utilizes AutoML Vision to offer flexibility and suppleness depending on the specific use case which you are relating to the context. The Cloud Vision API further facilitates as well as enables developers to comprehend the content of an image by summarizing sturdy machine learning models into a straightforward and simple to utilize REST API.

Classification of Images into Multiple Categories

It swiftly classifies images into multiple categories (such as, “sailboat”), detects entity objects and faces within the needed images, and reads the provided printed words contained within the involved images. You can create metadata on your image catalog, moderate offensive content, or let fresh marketing scenarios via image sentiment analysis.

How AutoML Vision Operates with Custom Models

AutoML Vision Beta makes it possible for developers with restricted machine learning proficiency to train high-quality custom models. Subsequent to uploading and labeling of images, the AutoML Vision will train a model that can scale as required to become accustomed to demands. AutoML Vision delivers higher model precision and swifter time to build a production-ready model.

Step – 1: The user uploads the required images.

user uploads the required images

Step – 2: The vision API detects board objects and sights form the required images, and get the labels returned with detection keywords, web entities keywords, safe search, properties, and JSON.

vision API detects board objects

Detecting insights from your images:

You can straightforwardly detect broad sets of objects in the required images, from flowers, animals, or transportation to multiple other objects and their categories found within the images. Vision API enhances over time by using fresh concepts which are introduced, and its precision is made for better presentation.

While working with AutoML Vision, you can build custom models that highlight specific ideas and concepts from the images. This allows the use cases to range from categorizing the needed product images to the requirement of their diagnoses.

Extraction of required text:

Optical Character Recognition (OCR) facilitates you to detect and extract text within your images, along with using automatic language identification. Vision API supports an extensive set of languages which makes it suppler and more flexible to use.

Power and influence of the web:

Vision API utilizes the power of Google Image Search to detect topical entities like the in-hand celebrities, logos, and the news events. Millions of beings are backed and supported, so you can be sure that the newest applicable images are accessible with ease. Merging this with the Visually Similar Search makes simple to search alike images on the web making things straightforward to handle.

The Cloud Vision Use Cases:

1. Image Search flow:

Image Search flow

2. Document classification flow:

Document classification flow

3. Product search flow:

Product search flow

The Key Cloud Vision API Functionalities and Features:

One can discover insights from the images using the strong and powerful Cloud Vision API in the following ways described below.

 

1. The label detection

It detects broad sets of categories within an image, for example ranging from the required modes of transportation to the animals.

2. Detection on web

Search online for related images to work with them.

3. Optical character recognition

Detect and fetch the text within an image, with back-up and support for an extensive range of languages. This even supports the automatic language identification process. You can easily upload the PDF and TIFF files with images like PNG and GIF files to view the complete list of supported files.

4. Landmark detection

It helps in detecting all the accepted natural and man-made structures within a required image.

5. Face detection

Detect numerous faces within an image, along with the connected significant facial attributes which includes the emotional state or wearing headwear. Facial recognition is not backed up and fully supported.

6. Moderation of Content

It assists in automated detection of precise content like adult content or violent content within a required image.

7. Handwriting recognition BETA

Utilizing the Vision API, one can easily distinguish human handwriting in totaling to machine-printed text effectively.

8. Detection of Logo

It helps in detecting accepted product logos within an image.

9. Object localizer BETA

In accumulation to spotting an object in an image, the Vision API can now also recognize wherein the image that objects is located. It also detects how many of those categories of object are present in the current image.

10. Integrated REST API

It assists in admission to the Cloud Vision API through REST API to request one or more annotation sorts per image. Images can be uploaded as per the demand or incorporated with the Google Cloud Storage.

11. ML Kit integration

Integrate with ML Kit, a mobile SDK that makes it simple to apply Google’s machine learning technology to Android and iOS apps. It works in an authoritative yet simple to use package.

12. Product search BETA

It helps in getting acquainted with the products from your catalog within the web and mobile pictures. It further implements visual search experiences that allow your apps to distinguish products in your currently displayed images.

13. Image attributes

It helps in detecting the required common attributes of the image, such as leading colors and fitting crop hints.

Key Takeaways

The cloud vision steers insights from the images with superior pre-trained API models and with no issues trains the custom vision models using AutoML Vision BETA. We hope the above functionalities and features along with the use cases have provided you a better idea of discovering the required insights with our well-built and influential API.

We at technostacks successfully integrate the google cloud vision API in our client website. You can see below the video presentation of it.

If you want to develop such kind of functionalities in your website, then you can
contact us. We will give the best possible consultation for your business requirements.

Written By : Hussain Arif (Project Manager)

Benefits of Hybrid Mobile App Development

In the beginning, when mobile app development was totally a new idea, it was ideal to build native mobile applications. However, now with the maturity and growth of mobile-based users, more application usage, and fragmentation of devices, they have come to recognize the advantages of multi-platform app development.

Hybrid mobile applications, inevitably, fall in the middle of the native and web application gamut. They are clear with the user experience elements and features of both web and native domains offering an assortment of uplifting benefits.

The Need for Hybrid Application Development

A hybrid application is not restricted to a picky operating system. It is written by using the standard web technologies including HTML5, JavaScript and CSS, along with 3rd party products to effectively “wrap” the code. They are further used as a native application for diverse mobile operating systems. Here it’s a need that a single application is developed just once and then deployed to numerous device categories.

For instance, a web-based application coded in HTML5, JavaScript and CSS can be united with a product such as Cordova and PhoneGap. These modernized products “wrap” the needed web application and output the application for manifold mobile operating solutions as well as required systems. The application is then made accessible at different stores including iTunes and Google Play.

Hybrid Mobile Application Development Features

  • They support portability – one code platform and can be utilized on multiple platforms
  • You can manage several hardware and software features by using diverse plugins
  • Cost-effective mobile application development environment for all types of stakeholders
  • Swift and quick way to build mobile applications with multiple features and functionalities

Advantages of Hybrid Mobile App Development

1. A Decrease in Development Costs

Developing a hybrid mobile app is comparatively cost-effective and gets the job done quicker relatively than any other native or web mobile application. In the intensely competitive digital world where ‘time to market’ has turned significant than continually, cost efficiency plays an essential role in assisting enterprises to create and get their product to the market in not much time.

With the assistance of a set of libraries and multiple development frameworks which include the latest ones such as Xamarin and PhoneGap, hybrid application developers can speed up the development procedure and submit the application to a range of app stores to in fact save efforts, time and overall costs

2. Enhanced UI/UX

A reliable user experience across multiple mobile platforms is one of the main rationales behind hybrid app’s recognition. Users anticipate the app to be right away responsive on diverse devices and set free a glitch-free experience.

Hybrid applications are based on the inspiration of “information is just a knock away.” And while it exhibits data speedier and fiddle with to changed device screen configurations instantly, it also solves the problems of the random data streaming abilities. It is also lightweight and so the hybrid app UI can be easily be loaded with the high-definition graphics and useful content.

3. Effortlessness Integrations

Similar to native apps, hybrid applications drive the device’s inner programming solution by an overlay which assists to deliver better synchronization with other well-suited apps. This decreases the integration problems for developers.

Again going around, the hybrid application works smoothly with the device’s native apps covering camera, messaging and GPS to make sure a better user experience.

4. Useful Offline Data & Information Support

Hybrid apps store the device’s API to save offline information and data that further helps to load the app swiftly. It moderately stores information that the users can obtain during poor or when there is no connectivity.

Since the majority of users want to trim down their mobile data usage and have nonstop access to application data, a hybrid app is competent of offering just that – offline app convenience without a performance drop down. It is one of the chief reasons why hybrid mobile apps are the most excellent when evaluated with native mobile applications.

5. Simple to Maintain and Sustain

Unlike a web application, a hybrid app is intended to make use of all the accessible features on hand in the mobile device. Despite the fact that native apps also use all the device functionalities and features, maintaining it is somewhat a challenge for users and developers. Developers need to roll out newer updates and fresh versions. On the other hand, users are needed to update the application each time a novel version is launched in the market.

A hybrid application bypasses versioning and makes app upholding as trouble-free as updating a website page, that also on a real-time basis. This level of suppleness further enables the scalability requirements of an enterprise.

Key Takeaways

A mobile app is a vital tool for enterprises to make a way into the market swiftly and remain competitive. And a hybrid application solution makes this job straightforward as well as speedier.

Giant organizations like Twitter, Uber, and Instagram have already driven their performance with the benefits of hybrid mobile app development. If you too are looking to make the most of this technology via a hybrid app, we can quickly connect and discuss your requirements today itself.

Written By : Technostacks

Deep Learning With Python

Way back in the year 1991 when the great Guido van Rossum had released Python as his side assignment, he had not expected that python would become the world’s fastest developing computer language of the near future. If the trends are to be believed, Python turns out to be a go-to language for the fast prototyping.

If an individual dwells deep at the philosophy with which the Python language is created, one can say that the language had been built for the purpose of its readability and its less complex nature. One can easily understand the language as well as make someone else also understand the same very fast.

The language Python is successful at winning the hearts of its users. As per the Hackerrank 2018 developer survey, it is believed that the JavaScript might be the top most in-demand Programming language by the employers, but the Python language has won the heart of the developers across all the age groups, as per the Love-Hate index.

Why deep learning in python?

It is essential to understand that why would someone wish to use only the Python language in designing any kind of deep learning project. Deep learning in layman terms, is the usage of the data in order to help a machine make intelligent decisions.

For instance — one can build a spam detection algorithm in which the rules may be learned from a data or an anomaly of detection of the rare events by observing at the previous data or by arranging the email based on the tags that one had assigned by viewing the email history and so on. The main task of deep learning is to simply recognize the patterns in a given data set.

One of the critical tasks of a deep learning engineer in his/her career life is to extract, refine, define, clear, arrange and understand the data that is given, in order to develop a set of intelligent algorithms. Thus for a deep learning engineer or a Computer Vision Engineer or a budding Data Scientist or a deep learning or an Algorithm Engineer or a Deep learning engineer one would definitely recommend Python, as it’s easy to understand.

Many times the concepts of topics such as Linear Algebra, Calculus are so complex, that they take a significant amount of effort. A simple implementation in the Python language helps the engineer to validate an idea. There are simple python deep learning tutorials available which offer the best possible assistance to language usage.

Data is the primary factor

Thus it entirely depends on the kind of the task where one wants to use deep learning. Let us take a view at a few instances and examples. For a computer vision projects, the input data is the image or the video. For a statistical review, it may be a series of points across time or a collection of language documents that are spread across the various domains or the audio files that are given or simply some numbers.

Try to imagine that everything which exists around is in the form of data. And the data is raw, inadequate, incomplete, unstructured, and large. Python can be a guide for deep learning to tackle all of the problems.

Python has a collection as well as code stack of the various open source repositories that is developed by the people (and still in process) for the purpose of continuously improving upon the existing methods.

That are very helpful for deep learning for beginner’s category of people. The following are some of the guide for deep learning in python:

  • In order to work with images — opencv, scikit and numpy
  • In order to work with text — nltk, numpy, scikit
  • In order to work with audio — librosa
  • In order to resolve the deep learning problem — scikit, pandas
  • In order to view the data clearly —  seaborn, scikit, matplotlib
  • In order to utilize the deep learning — pytorch, tensorflow
  • In order to perform scientific computing — scipy
  • In order to integrate any kind of web applications — Django

Deep learning in Python: the implementation matters

The total implementation of the clustering algorithm will open up insights towards the problem then simply reading the algorithm. In python, when a user implements the things, it is going to perform much faster in order to prototype code and then test it.

Key Takeaways

Thus it can be seen that if the focus is on the overall task that is needed to train, validate as well as test the models — so far as they satisfy the aim of a problem, any tool/language/framework may be used. Be it for the purpose of extracting the raw data from an API, or analyzing it, or performing an in-depth visualization and creating a classifier for a given task. But the primary reason for using deep learning in Python would mainly be its readability, versatility, and ease of understanding. You can cater your requirement to deep learning python experts to build an awesome application.

Written By : Technostacks

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