LLM integration
Put large language models inside the software you already run.
We connect LLMs to your data and workflows: copilots inside your web apps, retrieval over your documents, and tool layers that let models act through your APIs with the same permissions as your users.
- AI sidecar from
- $18,000
- Production RAG from
- $28,000
- Typical build
- 5–10 weeks
What we deliver
What our LLM integration team delivers
In-app copilots
Assistants inside your ASP.NET, Blazor or React application that understand the screen, the user and the record in front of them.
Retrieval-augmented generation
Indexed documents and database records with citations, freshness rules and access control.
MCP and function calling
Typed tools over your APIs so models can look up, create and update records safely.
Model routing
Send simple prompts to small, cheap models and escalate complex ones, using our open-source smart-slm-router.
Data protection
PII redaction, tenant isolation and EU or on-premises hosting when regulation requires it.
Technology
- OpenAI
- Azure OpenAI
- Claude
- Llama
- LangGraph
- Semantic Kernel
- pgvector
- SQL Server
- FastMCP
How we ship AI
Five gates before any agent reaches production.
- 1
Assess
Map data, risks and the workflow worth automating. One to two weeks.
- 2
Build
Agent, tools and retrieval wired to your SQL Server, Oracle or Postgres and APIs.
- 3
Senior review
An engineer with production experience reads every prompt, tool and permission.
- 4
Pre-deploy test
Evaluation sets, red-team prompts and cost ceilings before go-live.
- 5
Observe
Tracing, token cost and policy alerts in production, with a full audit trail.
Related work
Proof from a real engagement
See how we delivered similar work, or browse all case studies.
BlueberryCMS · United States
a 7-year dedicated team that re-architected a legacy CMS.
BlueberryCMS has worked with a dedicated 92 Logics team for seven years. The team replaced a monolithic CMS with modular .NET Core services and a React front end, and continues to build and support the platform.
Read case study →FAQ
Common questions
Do we need to move our data to use an LLM?
No. We index data where it lives or in a vector store inside your cloud account, and keep access rules from the source system.
Can the copilot run on-premises?
Yes. We deploy open models on your own servers when data sovereignty or EU rules require it.
How long does an LLM integration take?
An AI sidecar on an existing app usually takes 5 to 8 weeks, and production RAG 6 to 10 weeks.
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