Enterprise AI.
In 6 weeks.
On your servers.
The opposite of legacy IT services. We don't sell pilots, retainers or roadmaps — we deploy working AI inside your environment in 6–9 weeks, where the rest of the industry quotes 6–9 months. And then we hand you the IP.
50+ enterprises. Three continents. One delivery standard.
Most enterprise AI dies between the demo and production.
A working prototype is the easy 10%. Governance, monitoring, compliance and sovereign deployment are the 90% that quietly kills most projects. We engineer the whole journey — and hand you something that actually runs in production.
117 Enterprise-Ready AI Accelerators
The most comprehensive pre-built AI accelerator library for regulated enterprises — across every business function, every industry, all deployment options.
Why MindMap Digital
Outcome-Driven Delivery
Outcome-based retainers, not time-and-materials billing — you pay for working software, not bench utilisation. An IP-led product firm, not a body shop.
117 Proprietary Accelerators
Pre-built IP that compresses 6–9 month builds into 6–9 weeks. The library expanded by 40+ accelerators in the last 12 months alone.
Sovereign by Default
Every accelerator runs fully on-premise, air-gapped, with zero internet dependency. Cloud-first AI vendors structurally cannot replicate this — their subscription model prevents it.
Model-Agnostic Engineering
Works with OpenAI, Anthropic, Google, open-source — or trains your own small language models on your data, deployed inside your environment on your infrastructure.
Regulated Industry DNA
Most of our enterprise base is BFSI, healthcare and pharma. Compliance is a design constraint, not an afterthought. NASSCOM Tech Excellence winner for healthcare AI.
We Sweat Your Unit Economics
Run by operators who treat your P&L like their own — the engineering ships, the business case holds, and every deployment is measured on the outcome it returns, not the hours it bills.
10 Flagship Platforms
Purpose-built products that solve high-ROI enterprise problems out of the box.
Redacto
PII redaction across PDFs, images, scans and chat logs — every sensitive entity masked before data ever leaves your environment.
One sovereign stack. Built end to end.
From the live product your users touch, down to the sovereign infrastructure it runs on — every layer engineered, owned and deployed inside your perimeter.
Named sovereign model families. In production, inside your perimeter.
Open weights in, owned intelligence out. Five domain-tuned families — fine-tuned and 4-bit quantised in our factory, deployed on your hardware, with a provenance record for every deployment. Nothing rented by the token.
Charaka 1.5
HealthcareClinical documents · revenue cycle · specimen & diagnostics workflows
Explore →LkLive & StableLekha 2.5
Banking, financial services & insuranceOnboarding · KYC · fraud signals · claims straight-through processing
Explore →VnLimited ProductionVanij 1.0
Retail, consumer & supply chainProcurement · vendor & supply-chain documents · SAP + ServiceNow orchestration
Explore →RsIn DevelopmentRasayana
Pharma & life sciencesRegulatory submissions · clinical-trial documents · pharmacovigilance · quality SOPs
Explore →BhPOC PhaseBhasha 1.0
Indic voice & vernacularOffline Indic voice Q&A · vernacular text · edge devices
Explore →Families are product-line brands for domain fine-tunes of permissively-licensed open-weight bases — not from-scratch pretraining. Base model, version and licence are tracked per deployment.
What the hyperscalers structurally cannot ship.
Banks, insurers and healthcare systems can't send customer data to OpenAI, Anthropic or Gemini. We deploy every accelerator 100% on your servers, cut from the internet — no APIs, no exfiltration, no leakage. Cloud-first AI vendors cannot follow you here; their subscription model prevents it.
“Sovereign deployment is now a regulator-level requirement in BFSI and healthcare. That's why these enterprises come to us.”
Agents in production, not just demos.
Real deployments. Measurable outcomes. Regulated enterprises across BFSI, healthcare, telecom, manufacturing and BPM — on three continents.
Most AI vendors hand you a model and wish you luck. We're an engineering firm — we build the system, deploy it inside your environment, and stay until it's running in production. Sovereign by default, because the banks, insurers and hospitals we serve can't send their data anywhere else.
How We Work Together
From a 2-week sprint to a multi-year managed CoE — structured to match your stage.
AI Readiness Sprint
2-week diagnostic. Prioritised use case backlog. Business case for the top three. The first conversation any serious AI buyer should have.
- Data maturity & infrastructure audit
- Sovereign-vs-cloud decision framework
- Use case scoring matrix
- 100-day roadmap & ROI model
First Pilot
6–9 weeks from contract to production. Built on our accelerator library, deployed inside your environment, operated by your team at handover.
- Pre-built accelerator as foundation
- Production-grade from day one
- Weekly executive steering
- 30-day hypercare + operational handover
Managed AI CoE
Full AI Centre of Excellence operated by MindMap. The model for enterprises building a portfolio of AI products, not a one-off pilot.
- Dedicated pod (4–8 FTE on-shore + off-shore)
- Continuous accelerator additions to your stack
- 24/7 monitoring of live agents
- Quarterly strategy & roadmap review
Five tools for the people doing the work
Practical decision aids for enterprise AI buyers, architects, CIOs and CROs. Same data and frameworks we use inside customer engagements. No signup required.
Six offices. Four countries. Round-the-clock delivery.
Delivery hubs across India, the UAE, the UK and the US — with customers across Africa, North America, Europe and APAC.
Don't take our word for sovereign AI. Talk to it.
Ask MindMap anything about sovereign AI, the EU AI Act or RAG. Every answer is grounded in our own corpus and cites its source — the exact pattern we deploy on your documents, inside your perimeter, with nothing leaving the box.