PoC software development by Techling allows experimenting with different new frameworks and approaches. Test the ideas at an early stage, learn which ones are useful in practice, and ensure that innovations work as desired before investing in a full-scale development project and save time and resources.
Using our PoC services, you will be able to test the performance, scalability, and possible technical risks of your solution. Techling helps validate your idea in real-world conditions, giving you confidence and clarity before entirely investing in software development.
Test user adoption, obtain feedback and validate demand using proof of concept services. Techling will ensure your product idea aligns with the market requirements, points at the opportunities, and mitigates risks before investing in full scale development or launching.
We have a PoC service that provides workable prototypes to present with investors and internal teams. Techling focuses on the strong points of your idea, making stakeholders recognize the potential of your idea, feel more confident, and finding it easier to get support and then investment.
Techling’s PoC software developed is faster in early testing, and a team can detect problems and improve quicker. You can get your product to the market faster as you can test basic ideas and gain a competitive edge over more traditional, slower development methods.
With PoC services, you can measure resource requirements, technical feasibility, and potential return on investment. Techling helps teams make informed decisions, ensuring your idea is worth pursuing and resources are allocated efficiently before starting full-scale software development.
Jupyter Notebook enables teams to develop AI algorithms quickly, visualize data trends,
and test hypotheses interactively. It facilitates PoC development by offering quick experimentation without complicated setup and deployment.
Read More
Python is a simple, yet multi-purpose programming environment in AI PoC projects.
Its powerful libraries facilitate data manipulation, machine learning, and model testing, enabling groups to test ideas quickly and minimize errors at early stages.
Read More
TensorFlow facilitates the creation and training of AI models in a short time.
It can be used in PoC development, where teams can test complex algorithms, test various architectures, and test models to correctly work before doing full-scale development.
Read More
PyTorch is an open-ended AI prototyping. Its interactive calculation graphs
and debugging make teams test the ideas, adapt models in real-time, and verify the feasibility at the PoC phase.
Read More
scikit-learn provides prepared machine learning and data preprocessing tools.
It is faster in PoC projects, measures the performance metrics, and assists in determining the importance of the models to scale further.
Read More
Google Colab is a no-infrastructure local-free AI experimentation environment offered
as a cloud-based service. PoC models can be operated by teams in a collaborative mode, access GPUs, and distribute the results in real-time, and early validation is simpler and quicker.
Read More
Tableau assists in visualizing AI PoC data to the stakeholders. It allows teams to check
the results by showing insights in dashboards and charts and determine the correct course of action, monitor trends, and make decisions, and only after that, proceed to full-fledged development.
Read More
Docker containerizes PoC applications, ensuring consistency across different environments.
It allows AI prototypes to run anywhere, reducing configuration issues and helping teams test feasibility without dependency conflicts.
Read More
Cloud solutions are scalable computing environments, AI APIs, and storage.
They allow quick PoC implementation, high-volume data processing, and training of intricate AI models without the need to invest in expensive infrastructure initially.
Read More
RapidMiner and KNIME support prototyping AI using no/low code. Workflows may be designed,
tested on models and results can be visualized very quickly by teams while the PoC development is done faster and such that even non-programmers can easily view the results.
Read MoreBusiness Success Stories
CazVid partnered with Techling (Private) Limited to scale their video-based job platform. They revamped the backend, added cross-platform access, and introduced key features. We got 40% revenue boost, global expansion, and a faster, more engaging user experience. The team were very professional, reliable, and easy to work with.
From small businesses to large enterprises, our testimonials highlight the transformative experiences and the tangible value we deliver.
Techling (Private) Limited provided app development services for a fashion rental platform, successfully fixing existing bugs and enhancing the app’s functionality. The team was highly responsive, professional, and easy to work with throughout the project. Their reliability and smart approach ensured a smooth collaboration and a functional end product.
From small businesses to large enterprises, our testimonials highlight the transformative experiences and the tangible value we deliver.
Review
They take pride in their work and ownership of the tasks assigned.
Project
Helping a vehicle inspection company develop a web app, which includes a front- and backend dashboard.
Co-Founder & Head of Product, Chex.AI
Review
Their commitment to quality makes them a standout partner.
Project
Designs and develops iOS and Android apps for a fitness platform.
CEO, TrueTrack LLC-FZ
Review
Techling’s project management was seamless and efficient
Project
Developed a warehouse management SaaS platform for a software consulting firm.
Founder, Tang Tensor Trends LLC
Review
They are a very responsive, professional, and smart team that does a great job.
Project
Provided app development for a fashion rental platform.
Founder, Dress Up
An AI PoC (Proof of Concept) is a small-scale prototype used to test whether an AI idea works in real conditions. It helps businesses validate feasibility, reduce risks, and save time before full-scale development.
The timeline depends on the complexity of the idea and data availability. Usually, AI PoCs take a few weeks to a couple of months, allowing teams to test models, gather insights, and assess feasibility.
AI PoCs require clean, relevant data to test models accurately. This can include historical records, user behavior, or sensor data. Quality data ensures meaningful results and informed decisions for full development.
While an AI PoC validates technical feasibility and market fit, it cannot guarantee full project success. It reduces risk, identifies challenges early, and provides insights for smarter decisions during complete AI deployment.
We believe in turning ideas into reality and we are ready to join your journey . Reach out to us and let’s start discussing your project
Address: 6001 W Parmer LN STE 370 # 290, Austin TX 78727-3908, USA
Phone: +1-737-307-3967
Mail Address: info@techling.ai
Address: Plaza # 6, Younas Shaheed Road Near Darul Barkat Hospital, Sheikhupura
Phone: +92 321-799-7148
Mail Address: info@techling.ai
At Techling, we specialize in elevating efficiency and
achieving cost savings in the mobility and healthcare
industries through our custom Al and ML software
solutions. We are committed to delivering exceptional results with a 100% satisfaction guarantee and a promise of ontime delivery. Partner with us to leverage the power of Al and ML, and take your business to
new heights
