AI PoC to production · Typical solution

The demo worked. Production is a different problem.

88% of AI pilots never reach production. The gap is not the model — it is data readiness, integration dependencies, latency constraints, and compliance architecture. We validate all of it in three weeks.

Book a 30-min technical call Start with a Product Pilot →

Where PoCs stall

The gap between demo and production is an engineering problem.

Most AI pilots fail for predictable reasons — not because the technology doesn't work, but because production assumptions were never tested.

Data that worked in the demo doesn't exist in production

The pilot used curated data. Production data is inconsistent, schema-drifted, and arrives late. Models trained on clean data degrade on live data within weeks.

Latency that's fine in a notebook is too slow in a workflow

A 4-second LLM response is tolerable in a demo. It kills adoption in a real clinical, support, or underwriting workflow. Production AI needs latency architecture designed before the model is chosen.

Compliance requirements that were assumed away in the PoC

HIPAA, PCI-DSS, GDPR, and explainability requirements were not in scope for the demo. They are in scope for production. Retrofitting compliance into a deployed system is significantly more expensive than designing for it from the start.

No integration with the systems that matter

The PoC ran in isolation. Production needs to read from the EHR, write to the CRM, trigger the workflow, and send the notification. Each integration adds dependencies, failure modes, and latency.

Nobody owns what happens when the model is wrong

The demo showed the model being right. Production requires a defined failure mode, a human-in-the-loop mechanism, an audit trail, and a process for handling outputs that reach a customer or a regulator.

The PoC team is no longer available

The consultant, the intern, or the vendor who built the demo is gone. The codebase is a notebook and a Slack thread. A new team cannot extend it without understanding what it actually does.

Proof of work

What comparable engagements delivered.

PoC-to-production: 14 weeks, inference cost reduced 73%

A patient-intake AI was running GPT-4o for every interaction — accurate but too slow and expensive for clinical workflow requirements. We rebuilt the pipeline as a routed multi-model system: small models for triage routing, larger models only when complexity requires it. Deployed to production in 14 weeks. One-third the inference cost, half the latency, same clinical accuracy on the evaluation set.

PythonvLLMAWSHL7 FHIR

Read the full case →

Related service

Product Pilot is the service path.

The Product Pilot is built for exactly this problem: three weeks, experienced engineers, working software, and a clear recommendation on whether and how to proceed to a full build.

See Product Pilot details →

Data readiness and pipeline architecture assessment
Compliance gap analysis (HIPAA, PCI-DSS, GDPR)
Production latency and integration validation
Human-in-the-loop and audit trail design
Build plan and effort estimate for the full production system

Selected work

Nine months stuck in development. Production in 90 days.

Pharma Supply Chain Forecasting: 9 Months of Development to Production in 90 Days

Life Sciences

Life Sciences · Industrial SaaS — Life Sciences (anonymous)

Pharma Supply Chain Forecasting: 9 Months of Development to Production in 90 Days

A pharma supply chain forecasting model had been in internal development for nine months but could not reach production. We rebuilt the pipeline with GxP-aligned validation, audit logging, and a QA-owned kill-switch — and deployed to production in 90 days with a validation package the regulatory team accepted without revision.

Read case study

Client feedback

What clients say about working with us.

We brought Insoftex in after our second failed attempt at productionising the model. In six weeks they rebuilt the inference layer, instrumented it properly, and gave us an eval harness our own team could extend. They told us no twice during the engagement — both times they were right.

Jonathan Langley

CTO · Azarc · UK

We're very happy with the outcome and already looking ahead to the next phase. What stood out most was Insoftex's strong sense of ownership, transparent and fast communication, and ability to think beyond the initial scope to continuously add value. From day one, they supported us in shaping the product vision, through to delivering a high-quality MVP. The result is a robust platform that enables customers to easily book advertising placements and effectively drive visibility and sales. A reliable and forward-thinking partner.

Fei Cheong

General Manager · US

We had a great experience working with the Insoftex team. They played an important role in delivering a modern application for power quality and energy generation analytics, owning both front-end development and automated QA. They built a flexible, user-centric dashboard with configurable widgets, making it easy to analyze data across devices, parameters, and time ranges. Insoftex combines strong technical expertise with a clear focus on quality and delivery. A reliable partner I'd confidently recommend.

Shimon Yannay

Head of Software Development · Israel

Collaborating with Insoftex on our healthcare project proved to be transformative. Their team skillfully re-architected our platform based on comprehensive feedback, delivering exceptional results. They effectively addressed complex challenges while maintaining a strong emphasis on quality and precision. We look forward to continuing our partnership and highly recommend Insoftex to anyone seeking innovative, high-quality solutions.

Dmitry Shteyn

CTO · VURVhealth · USA

Working with Insoftex on the social engagement platform, The Club of Names, was both productive and inspiring. They were involved far beyond development — they helped shape the product's concept and actively contributed ideas that strengthened its core functionality. Together, we built a platform that provides information about names, generates personalized articles, helps users select baby names, and includes a social feature — a chat for people with the same name to connect.

Jason Walker

CEO · JWALKER Marketing · USA

I am happy to share my experience with Insoftex. They made for us a custom .NET application, and it is working very well! It fits perfectly with our needs, and the team did an excellent job integrating it within our local network. Their communication with Azure was seamless, and their professionalism made a big difference. We are pleased with the result and can highly recommend Insoftex for their dedication to quality work!

Thomas Marquardt

CEO · Marquardt Informatik · Germany

We are delighted to acknowledge that Insoftex skillfully programmed our frontend using React, meticulously bringing our design to life. Their adherence to our timelines and effective communication ensured a seamless and productive collaboration.

Ingmar Kruse

CEO · Sun Sniffer · Germany

This has been an amazing experience working with Insoftex, between the communication, the collaboration, and commitment to delivering results it has exceeded our hopes.

Madison Pratt

CTO · DLTChain · Canada

They don't do standard, off-the-shelf products. Rather, they keep their eyes on the market for the newest trends.

Chad Taylor

CEO · Hudson INC · USA

Insoftex's work quality surpassed my expectations. You are fantastic partners.

Emmie Reese

CEO · EpicFlow · USA

Insoftex team have been professional and enthusiastic. The team was always available (even during US-hours). Great job!

Andrew Wilson

CTO · Stealth Startup · USA

Ready to know whether your PoC can ship?

Book a technical call. We'll ask about the model, the data, the workflow it needs to fit into, and what production actually requires — then tell you what we think.

Book a 30-min technical call

An experienced engineer replies within one business day, often faster.