AI platform · AI enablement
AI that is verified before it acts.
A platform that verifies what AI agents are about to do and rehearses plans before they run — and a team that takes your AI from pilot to production. For any industry.
- Platform MVP
- in production on AWS
- 10+ years
- shipping production AI
- 12+ products
- built and deployed
- 5 countries
- with delivered projects
The problem
AI is acting faster than anyone can check it.
Enterprises have agents drafting filings, approving payments and answering customers. The output becomes a decision before anyone verifies it — and the damage shows up later.
Pilots work, production doesn't.
Teams get a demo running, then stall for months on architecture, infra and scaling.
Outputs act before they're checked.
An agent's answer becomes an action — and the real outcome arrives days later.
Nobody can explain a decision.
No audit trail, no verification layer, and the people who built it have moved on.
The fix: verify it before it acts, rehearse it before it runs — and get it into production properly.
What we do
A platform and a team — for AI that has to work in the real world.
Platform · Nikash + Adhva
Nikash + Adhva
Nikash verifies an agent's output before it becomes an action. Adhva simulates a plan before anyone runs it. One framework for any industry — through our API, in Studio, or in your own cloud.
Explore the platform →
AI enablement services
AI Deployment & Enablement
Architecture, infra and scaling for enterprise AI — one team from discovery through production, inside the client's own environment.
See our services →
- 01
Services surface real deployment problems
- 02
Platform turns them into reusable components
- 03
Our own products run them in production
- 04
Proof that wins the next client
Platform · Nikash, live
Verify before it acts.
Rehearse before it runs.
Most AI tools help you build an agent. Ours decides whether what it's about to do is safe — in any industry. Below, an agent has drafted a customs filing. Introduce a mistake, then run the check.
1 · Pick what the agent got wrong
Everything consistent
2 · What the agent drafted
SHP-88213 · Bill of Entry- HS code
- 8471.30.10
- Goods
- Portable laptop computers, 14-inch, with charger
- Invoice value
- USD 48,200
- Duty payable
- ₹11,22,867
- Incoterms
- CIF / CIF / CIF
- Origin certificate
- 2026-06-02
- Arrival
- 2026-09-21
- Licence
- —
Illustrative data. The AI drafts — your rules decide.
3 · Checked against your rules
- Importer code is well-formed
- HS code consistent with goods
- Duty arithmetic reconciles
- Incoterms agree across documents
- Certificate of origin valid on arrival
- Licence present for restricted goods
The result appears here — sent, stopped, or handed to a person — with a signed record.
AI enablement services
An early-stage company. Not an early-stage team.
Architecture, infrastructure and scaling for enterprise AI — one team from discovery through production, inside your own environment.
- 10+
- years shipping production AI
- 12+
- AI products built and deployed
- 5
- countries with delivered projects
- 5
- team today, and hiring
AI strategy & architecture
Data flow, integration points and security boundaries decided with your constraints in mind — not just model selection.
Agentic AI & automation
Multi-agent systems wired to your real tools, with a verification layer at every action boundary.
Applied AI & data science
Classical ML through LLMs and domain-tuned small models — the right-sized model for the job.
Data engineering & platforms
Pipelines, retrieval, knowledge graphs and the plumbing production AI actually depends on.
Cloud & MLOps enablement
Deploy and scale across AWS, Azure and GCP, including self-hosted models on your own GPUs.
Security & governance
Audit trails, explainability and data residency for regulated environments where “the model said so” isn't acceptable.
Use cases
Solution patterns we design and deploy.
FinTech / Payments
Real-Time Fraud & AML Detection
Read the pattern →Digital Lending / NBFC
Agentic Underwriting & Document Processing
Read the pattern →Healthcare / Life Sciences
Clinical & Regulatory Evidence Copilot
Read the pattern →Retail / D2C / Ecommerce
Conversational Commerce & Personalization
Read the pattern →Research
Deep in the parts of AI that decide whether it can be trusted.
Verification layers for agents
Outcome learning from delayed signals
Executable world models
Planning under stochastic time
Domain-tuned small models
Verified knowledge graphs & hybrid retrieval
Proof we ship · our own products
We don't just advise. We build and run AI in production ourselves.
Swamarg, our verified AI guide to India, is live on web and Android — built on the same verification thinking we bring to clients. More products are in development.
See Swamarg →- 132
- destinations live
- 13,823
- curated places
- 36
- states & UTs
Have an AI system that needs to go from pilot to production?
Tell us where you're stuck — architecture, infra, scaling, or trusting what the agent does — and we'll tell you honestly whether we're a fit.