Enterprise productivity
Frontier models on the work that runs the business: procurement, finance, legal, operations. Long-context reasoning over the documents and decisions a department actually handles.
Employee productivity
Every knowledge worker with a governed assistant that knows the company's own systems, policies and data — adopted, not just licensed.
Frontier intelligence systems
New capability the organisation could not buy before: multimodal understanding, multi-agent orchestration, and evaluation and assurance around all of it.
Claude, delivered as a platform your enterprise can run.
Nunnari Labs is an Anthropic channel and forward-deployed engineering partner. The Frontier platform is how we bring Claude into enterprise and government work in India and Australia: five layers that take an organisation from first access to frontier models running in production, under its own governance.
- Enablement— role-based skills, sandboxes and guardrails so people use Claude well and safely
- Adoption— use cases ranked, piloted and rolled out with measured uptake
- Governance— Claude inside your ISO/IEC 42001, NIST AI RMF and EU AI Act posture
- Forward-deployed engineering— engineers inside your teams taking frontier capability into production systems
- FrontierOps— model routing, cost and latency, evaluation, drift and upgrades handled
What the partnership covers
- Channel access to Claude models for enterprise and government
- Forward-deployed engineers embedded with client teams
- Governed deployments: evaluation, guardrails, audit evidence
Blended consulting and AI engineering, inside your teams.
A forward-deployed engineer works with business and IT stakeholders to take AI pilots into production — and stays until the organisation can carry it. Enablement, adoption, ROI.
How our FDE engagements runAreas of focus
- 01Platform security & governance
- 02Observability & platform integration
- 03Connectors & vendor integration
- 04Skills & prompt engineering
- 05Knowledge management
- 06Enablement & onboarding
Who needs an FDE
Large enterprises
Dozens of pilots, fragmented IT, no one owning outcomes.
Small and medium business
No AI team to hire, and no case for building one yet — a fractional expert instead.
ISVs and software vendors
Racing to ship AI features before the roadmap goes stale.
Five disciplines
Business analysis
Turns business ideas into AI systems, agents and skills
Data engineering
Pulls in and transforms the data sources a model actually needs
ML engineering
Hosts models and runs post-training to fit the customer's domain
Cloud & platform
Deploys and integrates APIs as containers, production-grade
Full-stack delivery
Integrates with applications and tests end to end, like a dev