LLM Integration Services for Products and Internal Tools
Large language model integrations fail when prompts are untested and context is unbounded. We design retrieval, guardrails, evaluation sets, and fallbacks so assistants stay on topic and your team can trace issues when answers miss.
Where teams start
In-product copilots
Task-focused assistants that read structured account data plus approved docs, with citations and escalation paths.
Support and success consoles
Drafting and classification inside Zendesk, Intercom, or custom consoles with human approval before send.
Developer and operations aids
Internal search over runbooks and APIs with strict permission boundaries for engineering and SRE teams.
Pricing and engagement shape
A technical spike through first production release commonly ranges from low five figures to mid five figures depending on evaluation depth, number of data sources, and environments (staging, prod, SSO).
When we may recommend a different path
If you need guaranteed factual outputs without review for medical, legal, or financial decisions, we will design human-in-the-loop flows rather than pure automation.
Frequently asked questions
- Which providers do you support?
- We routinely integrate OpenAI, Anthropic, and major hosted APIs, and we connect open-weight models when self-hosting is a requirement.
- How do you reduce hallucinations?
- Grounded retrieval, structured outputs, refusal patterns, eval suites per release, and monitoring on drift and failure rates.
- Can this live on our VPC?
- Yes when your compliance profile requires it. Architecture and cost shift with hosting and model choice, which we spell out before build.