Don't see yours? Start with a conversation.
Talk to an AI expertCrunch-IS in numbers
- 170+
- experts
- 120+
- delivered projects
- 40+
- active customers
- 6+
- locations
- 8+
- years of experience
Home / PoC Development Services
PoC Development Services
We turn a promising idea into a validated answer before you commit to a full build.
Crunch-IS scopes, builds, and tests focused proofs of concept against your real data and environment — with AI agents handling build legwork under senior engineer oversight, so feasibility comes back in weeks.
Benefits of PoC Development Services
Proof-of-concept development services that surface problems during a two-to-six-week build cost a fraction of what it takes to discover the same issues deep into a full project, when time, money, and credibility are already committed.
Watching the concept work shifts the conversation from whether it might work to what happens next — because the answer to the first question is already in the room.
Defining technical boundaries early means that product, engineering, and business leadership enter the full build with the same picture of what is realistic.
Testing the real model’s performance on real data prevents the AI strategy from making assumptions that the underlying technology cannot support in production.
Find out how a model actually performs in your environment before you commit to a full build.
PoC Development Services We Offer
Rapid PoC Scoping and Planning
We pin down exactly what needs to be proven and the shortest honest path to proving it, so the engagement answers a real question rather than a convenient one that sidesteps what matters.
Custom Software PoC Development
Our poc software development services produce working demonstrations built around your specific technical environment and data — not a polished showcase that proves nothing about how the idea holds up in your real context.
AI PoC Development Services
We build focused AI proofs of concept that test whether a machine learning model or a language-model application performs as expected on your real data, before any larger commitment is made.
Integration and Feasibility Testing
When the question is whether a new system connects to existing infrastructure, we build the integration layer and test it under real conditions — so you get a factual answer rather than vendor assurance.
PoC to MVP Transition Planning
A confirmed PoC should roll straight into scoping the next phase. We map that path while the findings are fresh, so nothing important gets lost between validating the idea and building it properly.
Our Capabilities
Rapid Prototyping and Architecture
We stand up a working slice of the system quickly, choosing an architecture that exposes the real risks rather than hiding them.
AI and ML Model Evaluation
We benchmark models against your data (large language models, computer vision, predictive models) and measure the metrics that determine viability.
RAG and LLM Integration
We build retrieval pipelines and language model integrations to test whether a generative approach holds up for your content and constraints.
Data Pipeline and Integration Engineering
We connect to your real sources and build the integration layer a PoC needs to run against production-like conditions.
AI-Accelerated Build and Test
AI agents generate scaffolding, test harnesses, and integration code under engineer review, compressing the build so more of the timeline goes to learning rather than setup.
Performance Benchmarking and Validation
We define success thresholds upfront and measure the PoC against them, so results are evidence rather than impressions.
What You Get
One Question, Clearly Scoped
Before any code, we lock what the PoC must prove and the shortest honest path to proving it.
Real Conditions, Real Data
We test against your actual environment and data, so the findings transfer to production.
Senior, AI-Enabled Delivery
A senior team runs the engagement with AI agents embedded from day one, so you get more validated approaches within a short timeline.
A Direct Line to MVP
A confirmed PoC rolls straight into next-phase scoping while the findings are still fresh.
What Our Clients Say About Us
They come up with lots of scalable and best-practice ideas that enable us to achieve what we have right now.
Crunch-IS was great at leading us on what good should look like and bringing our ideas to life for evaluation and review.
Crunch-IS impressed me with is the quality of developers. It is simply much better than in any other company we’ve tried working with.
We are impressed with their performance, how they are engaged with product development, and how they care about the product.
It’s been a very enjoyable experience. All has been fantastic about communicating, and working.
Our partnership with Crunch-IS has been an invaluable resource as we’ve scaled.
What I found in Crunch-IS was the technical competency, ability to think outside the box, and very good English.
They have a large impact on the whole architecture we ended up with. Overall, I’ve been pleased and impressed with everything Crunch-IS did for us.
Crunch-IS impressed us with their technical excellence and the sheer ‘meeting of minds and cultures’ and open, honest exchanges. This was not a decision we took lightly, and 5 months into the engagement we continue to be really impressed with how Crunch-IS approach the collaboration, and we’re delighted with the calibre of the team we have working with us.
Working with Crunch-IS was easy. They were patient with us as we worked through the contract questions and patient again as we were getting our billing set up. The design work was elegant and the developer delivered the app we had contracted for on time and good quality.
The team at Crunch-IS was very nice to work with. They worked diligently and were very professional. When questions or technical problems arose, they answered them quickly and were always ready and kind about helping us.
Crunch-IS developer helped us deliver an important feature for our project much faster than expected.
Crunch-IS facilitated a seamless, collaborative effort throughout the project. The team maintained open lines of communication, kept detailed records of task assignments, and adhered to project timelines. Their expertise regarding both design and development sets the company apart.
Crunch-IS provides ongoing development support that meets project requirements as needed. Despite their offshore location, they are easy to work with and accessible through communication channels
The best vendor we could possibly find. Crunch-IS blends practical development with innovative design principals. Internal and external feedback to app development has been positive. They complete project milestones by the planned schedule and deliver within budget. The team’s responsive and willing to engage in productive dialogue.
Crunch-IS exceeded my expectations. I appreciated the developers’ resourcefulness in the face of constraints and complex requirements. The company able to deliver and complete the project successfully.
The project has gone smoothly so far. Crunch-IS has an exceptional work ethic. Consequentially, they’ve been able to tackle every challenge that comes their way. They manage day-to-day work on their own well but also communicate with us regularly to make sure we’re on the same page.
The app Crunch-IS worked on is clean, streamlined, and functions as intended. Crunch-IS goes above and beyond to ensure that both teams are in tune. The passionate team crafts an enjoyable experience through their positive demeanor and effective project management skills. The team was very friendly, and working with them was a pleasure.
Why Choose Crunch-IS as Your Partner
AI-Enabled Feasibility
AI agents do the build legwork — generating test harnesses, integration code, and model evaluations under senior engineer oversight — so we validate more approaches in a two-to-six-week window than a manual team could.
One Pod From PoC to MVP
The senior team that proves the concept carries it into the full build. No rescoping, no knowledge lost in a handoff between validation and delivery.
We’ll Tell You to Stop
If the data argues against the idea, we say so. A documented no-go saves far more than an encouraged yes that leads somewhere expensive later.
PoC Development FAQ
A PoC (proof of concept) is a focused build that tests one specific technical question using real technology and data. The goal is not to ship a product but to determine whether the core approach is viable before making a larger commitment.
What is the difference between a proof of concept, a prototype, and an MVP?
A PoC tests feasibility. A prototype shows how something might look or feel. An MVP is a stripped-down working version built for real users. Each answers a different question at a different stage of the product journey.
How do you measure a successful PoC?
You measure it by whether it produces a clear, evidence-backed answer to the question it was built to address. A well-documented no-go is as successful as a confirmed yes — both save resources compared with finding out later.
What do PoC software deliverables include?
A PoC deliverable usually includes a working demo, notes on what was tested, the results, and clear recommendations for next steps. At Crunch-IS, you also receive the source code and a mapped path into the next phase.
What is an AI proof of concept?
An AI PoC is a time-boxed engagement that tests whether a specific AI approach performs as expected on your actual data before a larger commitment gets approved. It answers performance questions with evidence rather than benchmarks.
Why is an AI PoC important?
AI performance in production routinely differs from what controlled benchmarks suggest. Testing on your data first separates an informed investment from a large spend built on an assumption no one verified.
How long does an AI proof of concept take?
Most AI PoCs run between two and six weeks, depending on what is being tested and how ready the data is. Crunch-IS sets a realistic timeline before work starts, so the engagement does not expand beyond what was agreed.
What are common AI use cases for a PoC?
Document extraction, conversational AI, demand forecasting, computer-vision quality checks, and intelligent process automation are among the most common starting points teams bring to a PoC before committing to a full build.
What kind of AI models are used in an AI proof of concept?
The approach follows the use case. Large language models, classification and computer-vision models, and retrieval-augmented generation (RAG) architectures are all options, depending on what the PoC needs to demonstrate.
Crunch-IS Success Stories
Discover how Crunch-IS built an Agentic AI solution for a U.S. manufacturer....
The email Al Agent solution automates the process by intercepting incoming emails,...
Engineering teams eliminated manual DWG review and Excel-based indexing by deploying a...
Tell Us What You’re Building
Send an outline, a spec, or three sentences about where the system has stopped. One conversation is usually enough to know whether we’re the right fit.
Custom software, AI & ML, data and analytics, cloud, and security — from early scoping to long-term delivery.
- 170+ experts
- 120+ delivered projects
- 97% fully satisfied
