Build Your CustomAgentic Harnessfor Your Enterprise
From your AI use case to a secure, production-ready agentic system, designed around your data, workflows, tools and business requirements.
The Layer Between Your Business and AI
The AI model thinks. The harness connects it to your systems, lets it act, and keeps it in check.
LLM + harness = an AI agent that does real work in your business.
Where RAG Stops, Agents Keep Going
Looks up your documents
- Only reads stored files
- Can't calculate or use live systems
- Can't take any action
Completes the task
- Works with your live data and apps
- Calculates, verifies and shows its work
- Acts, with your approval
| Can it… | RAG system | Agentic harness |
|---|---|---|
| Use your company's information? | ~Documents only | ✓Documents, databases and apps |
| Work with live, up-to-date data? | ✕Stored files only | ✓Queries systems in real time |
| Handle a multi-step task? | ✕One lookup | ✓Plans and runs every step |
| Calculate accurately? | ✕Quotes text | ✓Runs real code on real data |
| Take action in your systems? | ✕No | ✓Yes, with approval |
| Respect who can see what? | ~Basic | ✓Role-based access and masking |
Your RAG isn't wasted. It becomes one of the tools inside your agentic harness.
Five Steps From Use Case to Production
Understand
Your goal, data and rules.
Use-case briefDesign
The harness blueprint.
Architecture planBuild
On your real data.
Working pilotTest
Accuracy, safety, cost.
Evaluation reportLaunch & Grow
In your cloud, then add agents.
Live system
Everything Your Agents Need, Built In
Eight building blocks sit behind every reliable AI agent. We design each one around your systems, data and rules, so your agents are useful on day one and safe in production.
Context management
Feeds the model only what matters.
MCP
Secure connectors to your systems.
Code execution
Runs agent code in a safe sandbox.
Memory
Remembers past work, per user.
Security
Access rules, PII masking, safe prompts.
Orchestration
Plans steps and coordinates agents.
Tools
Search, files and custom actions.
API
Plugs agents into your apps.
We've already solved these in production in Terno AI and for our enterprise clients.
We Built One. It's Live.
Terno AI is our proof that we build harnesses, not slides.
Terno AI is our self-hosted AI data scientist. A business user asks a question in plain English; Terno AI cleans the data, explores it, builds models and returns SQL, charts and reports, inside the customer's own AWS account.
Under the hood, Terno AI is an agentic harness. The same team and building blocks go into yours.
- Agent loopTerno Agent: planning, task lists, sub-agents, persistent memory
- Data layerTernoDBI: an MCP server between agents and your databases
- GuardrailsRow-level security, hidden sensitive columns, SQL-injection protection
- SandboxSandboxed Python for analysis and model building
- EvalsTested on Terminal-Bench and SWE-bench
Data Connectors
Integrations
Digital Analytics
What Teams Use Terno AI For
Pick your industry: real questions, real answers.
Trusted by Global Enterprises
Now working with top pharma companies
We bring the building blocks proven in Terno AI to some of the world's leading pharma companies.