Product Strategy
We pressure-test the idea before it becomes a budget. Workflow mapping, scope definition, and a phased roadmap you can defend to a board or a procurement committee.
Read moreWe build software and AI systems that teams actually rely on.
Norveque Solutions is a product engineering studio. We design and build custom software, integrate AI where it does measurable work, and automate the processes quietly costing you hours every week.
2026Founded
5Products in production
3AI-led builds
100%Delivered on time
The stack we run in production today
ReactNext.jsTypeScriptNode.jsPythonClaude APILangChainpgvectorPostgreSQLFHIRAWSTerraform
What we do
How we can help you
We work as an embedded product team, not a vendor. One accountable group owns strategy, design, engineering, and the numbers that follow — because in a studio this size there is nobody to hand the problem to.
UX & Product Design
Interfaces designed around how the work actually happens — at a desk, on a ward, on a phone between meetings. Research first, pixels second.
Read moreCustom Software Engineering
Web and mobile applications on typed, tested codebases with CI/CD from the first commit. Architected so your third year of growth isn't a rewrite.
Read moreAI Integration
Bringing language models into products you already run — search that understands intent, drafting that saves a rewrite, summaries a person can trust without re-reading the source.
Read moreAI Automation
The repetitive path between two systems — intake, classification, routing, reconciliation — handled end to end, with a human approving anything consequential.
Read moreData & Analytics
Pipelines, warehousing, and the integration work — HL7, FHIR, or plain old CSV exports — that turns scattered records into three numbers leadership sees every Monday.
Read moreCloud & DevOps
Infrastructure as code, observability, and audited release pipelines on AWS or Azure. Deploy on a Friday without anyone reaching for the rollback runbook.
Read moreAI Advisory & Readiness
A short engagement that finds where AI would genuinely pay for itself in your operation — and tells you plainly which of your ideas won't.
Read moreSupport & Managed Services
Ongoing maintenance, monitoring, and a roadmap review each quarter — for what we built, or for a system someone else left you with.
Read moreAI Solutions
AI that earns its place.
Most AI projects fail because nobody defined what "working" meant before building. We start from the task you want done, measure how well it's done today, and only ship when the system beats that baseline — with a person in the loop wherever the cost of being wrong is real.
Ingest
Documents, tickets and records arrive
Retrieve
Pull only the context that matters
Reason
The model does the actual work
Verify
Checked, scored, escalated if unsure
Act
Filed, routed or written back
AI Integration
Adding intelligence to the product you already have: semantic search over your own content, assisted drafting, classification, and summaries that cite where they came from.
AI Automation
Workflows that run themselves — inbound documents read and filed, requests triaged and routed, records reconciled overnight — with exceptions escalated to a person, not guessed at.
Custom AI Solutions
Retrieval systems, agents, and domain-tuned models built for one specific job in your business, on your data, evaluated against your own examples rather than a public benchmark.
AI Advisory & Readiness
A two-to-four week engagement: where AI would pay for itself here, what your data would need first, what it costs to run, and which ideas on the list to drop.
Evaluation & Guardrails
Test sets, scoring, and monitoring so you can tell whether a prompt change made things better or worse — and catch it in staging when it makes them worse.
Private & On-Prem Deployment
For teams who can't send data to a third party: models running inside your own boundary, with the same evaluation and logging as everything else we ship.
Industries
Generalists in engineering. Specialists in a few places.
Good software practice transfers between sectors; domain knowledge doesn't. So we're honest about the difference. Healthcare is where we've gone deepest — our first client was a specialist provider group and the work that followed came by referral, which means we design for a compliance review from the first sprint instead of retrofitting one later.
Everywhere else we bring the engineering and lean on you for the domain. That arrangement has worked well for the operations and platform teams we build for.
- HIPAA-aligned delivery
- HL7 & FHIR
- SOC 2 practices
- Audit logging by default
- Healthcare & life sciencesPatient platforms, clinical tools, EHR integration
- Professional servicesDocument-heavy operations, back-office automation
- SaaS & platformsMulti-tenant products, admin tooling, billing
- Logistics & operationsTracking, scheduling, exception handling
Why Norveque
We don't measure success by the software we ship. We measure it by what it changes.
Launching software is easy. Building something a team can't get through Monday without is the real challenge — and that's the part we've organised the whole studio around.
Senior engineers, no bench
The people in your kickoff call write the code. At our size there is no junior team to hand it to once the contract is signed.
Two-week delivery rhythm
Working software in staging every fortnight, with a demo and a written decision log. You are never guessing where the project stands.
Security reviewed before launch
Threat modelling, access review, and audit logging are part of the definition of done. Mandatory in regulated work, worth doing everywhere else.
You own everything
Source code, infrastructure accounts, design files, and documentation are yours from the first commit. No lock-in, no exit fee.
How we work
From first call to production.
Five stages, run in order, each with a defined exit criterion. You approve the output of a stage before we spend a day on the next one.
- STAGE 01
Discover
Stakeholder interviews, workflow shadowing, and a written problem statement everyone signs off on before scope is drawn.
- STAGE 02
Design
Information architecture, prototypes, and a component library — validated with the people who'll use it daily, not internal opinion.
- STAGE 03
Build
Two-week sprints against a shared board, with automated tests and a staging deploy at the end of every one.
- STAGE 04
Launch
Load testing, security and compliance review, monitoring, and a rehearsed rollback plan before a real user touches it.
- STAGE 05
Support
Usage analytics, performance tuning, and a quarterly roadmap review as the product settles into real daily use.
Technology
A stack chosen for longevity.
Boring, well-supported technology for the foundation; the novelty saved for the parts of your product that are genuinely novel. Everything below is something we run in production today.
Frontend
- React
- Next.js
- TypeScript
- Tailwind
- React Native
Backend
- Node.js
- Python
- PostgreSQL
- Redis
- GraphQL
AI & ML
- Claude API
- LangChain
- pgvector
- LlamaIndex
- Ollama
Cloud & Data
- AWS
- Terraform
- Docker
- dbt
- FHIR / HL7
Selected work
A short list, honestly told.
We opened in early 2026, so this is a short list rather than a long one — three of the five products we've put into production. Client names are withheld where our agreements require it; full references are available under NDA.
Healthcare
Patient intake & scheduling
Replaced paper intake and a shared calendar across a nine-clinic provider group with one system that patients complete on their phone before arriving.
- 31%
- Fewer no-shows
- 9
- Clinics live
AI Automation
Document intake automation
Inbound PDFs and scans read, classified, and filed against the right record automatically — with anything the model is unsure about routed to a person instead of guessed.
- 18hrs
- Saved weekly
- 96%
- Routed without review
AI Integration
Internal knowledge assistant
Search across a decade of scattered policy documents and past projects, answering in plain language and citing the source paragraph so staff can verify before acting.
- 7min
- Avg. search cut to under 1
- 240
- Daily users
Client feedback
What partners say afterwards.
They pushed back on half our original scope, and they were right to. We went live two months earlier than planned with something our front desk actually understood on day one.
We came in wanting an AI chatbot. They talked us out of it and built the document automation instead. It saved us two days a week — the chatbot would have saved nothing.
Every second Friday there was a demo and a written summary of what changed and why. It’s a small team, but I always knew exactly where my money had gone that fortnight.
Let's find out whether we're the right team for what you're building.
A 30-minute call, no deck. Bring the problem — you'll leave with an honest read on scope, timeline, and whether it's worth doing at all.
Contact
Tell us what you're building.
We reply to every enquiry within one business day. If your project isn't a fit for us, we'll say so and point you somewhere better.
- Emailcontact@norveque.com
- Phone+1 (210) 716-3798
- LinkedInNorveque Solutions Inc
- WorkingRemote-first, across North America & South Asia