10decodersMost AI stops at the demo.
Ours goes live.
Enterprise-grade AI. Right-sized for the mid-market. Unlock ROI at scale.
We build and advise on AI for Healthcare, FinTech and GCC companies. Governed from day one, secured, and your data stays in-house.
Trusted by teams at
Products, services & consulting
AI in a Box
From idea to production AI agent in one sprint. Governance, audit logging and data isolation included — not bolted on later.
Explore AI in a BoxDocuFindr
Unstructured documents — contracts, records, filings — turned into structured, queryable data. Productized from CheiAI Labs research.
Explore DocuFindrVuFindr
Computer vision that turns cameras into searchable operational intelligence. Runs on your infrastructure. Productized from CheiAI Labs research.
Explore VuFindrEnterprise Modernization
Legacy systems re-platformed to AI-native architecture — iteratively, without the big-bang rewrite, without taking operations offline.
Learn morePrompt to Production
AI wired directly into your SDLC — Jira, CI pipelines, PR reviews and QA gates. Engineering throughput up. Toil down. Measurably.
Learn moreQA Agent Suite
Autonomous quality engineering — test writing, regression execution and defect flagging at sprint speed, without a dedicated QA team for every squad.
Learn more10decoders Consulting
Domain-led advisory for Healthcare, FinTech and GCC companies — IT strategy, AI roadmaps, operating model design and build-vs-buy decisions. The 4P framework: Product, Process, Prompt to Production, People.
Build production-grade AI for your company.
Start with a free AI Deployment Readiness Scoring Assessment — 10 questions, instant score across governance, data, infrastructure and business readiness.
CheiAI Labs
Our applied AI research division — where the core models behind DocuFindr and VuFindr were built. CheiAI Labs runs independent research on multimodal AI, document intelligence and computer vision that feeds directly into 10decoders products.
Not a marketing term. An actual research function with published outputs, an independent team and a direct lineage to the products we sell.
Visit CheiAI LabsWhere the products start
DocuFindr and VuFindr were both productized from CheiAI Labs research — from prototype to production-deployed product, inside the same organization.
We're the right partner for some companies. Not all of them.
We work best with mid-market teams in regulated industries that need AI to work in production — not just in a demo. If that's you, we'll be direct about what's feasible and what isn't.
You operate in a regulated industry
Healthcare, FinTech, BFSI, or GCC — compliance is a constraint we design around from day one, not retrofit at the end.
Your data must stay sovereign
We build on your cloud, in your region. No offshore routing, no shared model training on your production records.
You want a team that owns outcomes
Our 7+ year average tenure isn't accidental. Engineers who stay also care what happens after go-live.
You need a proof-of-concept with no path to production
We prototype with the production architecture in mind from sprint one. Demo-ware isn't something we're built to deliver.
You need the lowest possible hourly rate
We're competitive for what we deliver, but we're not a body-shop. If price is the only variable, we'll say so honestly.
You need someone to validate a decision already made
Our advisory practice tells you what we actually think. If you need a consultant who agrees — that's not us.
From first conversation to production system
Every engagement starts with a 2-week discovery sprint at no cost. You get a written readiness report and an honest fit assessment before committing to anything.
Not sure where to start? Take our self-serve AI Readiness Assessment — 10 questions, 5 minutes. Instant score across governance, data, infrastructure and business readiness.
Credentials that matter in regulated industries
When your AI touches patient records or financial transactions, certifications aren't optional and data sovereignty isn't negotiable.
The same engineers who built the system are still here. That continuity means you don't re-explain your context every 6 months.
The engineers doing your work are the ones you talk to. No translation layer. No offshore handoffs hidden behind account management.
Deep domain patterns learned across real production systems — not generic AI consultants learning your industry on your dime.
US · UAE
UK
Engineering depth of a global team. Client-facing teams co-located with your business. You get both.
Expertise Decoded. Depth Delivered.
Explore Consulting
IT Strategy & AI Advisory
Vendor-neutral AI strategy, build-vs-buy analysis, operating model design and governance frameworks. We tell you what we actually think.
Healthcare / HealthTech
AI strategy and engineering for health systems, RCM companies and clinical platforms under HIPAA, FHIR and HL7 constraints.
BFSI / FinTech
End-to-end AI for banks, payment companies and FinTech builders — fraud monitoring, AML screening and intelligent customer operations.
Global Capability Centres
Advisory for companies establishing or scaling GCC operations in India — location strategy, operating model design and AI capability build-out.
AI compliance agents cut review time by 80%
A leading RCM product company needed to automate clinical documentation review across thousands of daily claims — without sacrificing the accuracy that regulators and payers require.
Multi-agent clinical documentation review system
Built on the client's Azure environment. Zero PHI leaves the client's infrastructure. Compliance team reviews exceptions only.
10decoders doesn't just deliver code — they deliver accountability. They understood our compliance constraints before we had to explain them twice, and they told us when something wasn't going to work rather than just building what we asked for.
Before your call with us
What does the 2-week discovery sprint include?
We map your data landscape, compliance constraints, existing stack and core business problem. You get a written AI readiness report, a recommended architecture approach and an honest assessment of fit — within two weeks. No cost, no commitment to continue.
Where is our data processed and stored?
Everything runs in your cloud environment, in your chosen region. We don't route customer or operational data through 10decoders infrastructure or shared model training pipelines. For Healthcare clients, we sign a BAA before any PHI is discussed or accessed.
What is AI in a Box — how is it different from custom AI engineering?
AI in a Box is a productized deployment framework — pre-built governance, audit logging, data isolation and explainability layers that let us stand up a production AI agent significantly faster than starting from scratch. Custom AI engineering is bespoke work. They're often used together: consulting first to decide what to build, AI in a Box to build it fast.
Are you HIPAA-compliant? Can you sign a BAA?
Yes and yes. We operate under HIPAA technical safeguards, sign Business Associate Agreements for any engagement involving PHI, and our Healthcare practice team has direct experience building systems that have passed compliance reviews. SOC 2 Type II audit is currently underway.
What happens after the pilot — are we locked in?
No. Each engagement is SOW-based. At the end of the pilot, you own everything we built and can continue with us, take it in-house, or hand it to another team. We structure pilots to transfer knowledge as we go — we're not building dependency into our model.
What is CheiAI Labs — is it a separate company?
CheiAI Labs is 10decoders' applied AI research division — not a separate company. It's where the core models behind DocuFindr and VuFindr were developed. The research feeds directly into the products we build and sell. Think of it as the R&D function that makes our productized AI credible.
Still have questions?
The fastest path to a clear answer is 30 minutes with Thomas, our CTO. He'll give you his honest read on fit and feasibility.
Book 30 min with ThomasOr take the AI Readiness Assessment firstDecoding Delivered
HIPAA and AI: A practical guide for engineering teams
What the technical safeguards actually mean when you're building a production AI system that touches PHI.
Building agentic AI that doesn't hallucinate in production
Architectural patterns, guardrails and evaluation frameworks we use when the stakes are high.
The GCC AI maturity model: where most centres actually are
Based on assessments across 15+ GCC operations — what separates centres that use AI effectively.
