Service 01
Forward-Deployed AI Engineering
Agentic, LLM and RAG systems built inside your environment, with evaluation, guardrails and human-in-the-loop design.
The problem
The pilot worked. Production is another matter.
AI pilots impress in demos, then stall. They cannot reach production data, cannot pass security review, and nobody can say with confidence whether they work. Getting from demo to dependable takes engineers close to your data, your systems and your constraints.
What we build
Systems you can measure, govern and own.
Agents that act through your APIs and systems, with clear permissions and audit trails.
RAG over your documents and data, with retrieval quality you can measure.
Test sets, LLM-as-judge and outcome metrics so quality is a number, not a feeling.
Input and output controls, escalation paths and human-in-the-loop review.
Running in your cloud, with monitoring, cost controls and rollback.
Connections to production data that respect your access controls and privacy rules.
How we engage
A fixed-scope assessment of use cases, data access, risk and evaluation approach.
1–4 engineers in your team to build and ship a defined AI system.
Example deliverables
- A production AI service running in your environment
- An evaluation suite and quality dashboard
- Guardrail and escalation design
- Runbooks and architecture documentation
- Handover sessions with your engineers
Typical stack
- Your cloud
- LLM APIs and open models
- Vector search
- Agent frameworks
- MCP
- Evaluation tooling
- Observability
- Python
- SQL
We work with the tools you already run.
Related services
Book a call
Tell us what you are trying to ship.
A 30 minute call with us. We will tell you plainly whether we can help.
Or email info@7data.io