AI · Automation
LLM integrations
Plug LLMs into the products you already run.
Embed AI features into existing apps — summarization, drafting, classification, semantic search — with proper caching, evals and cost controls.
LLM integrations
by SuGow
Capabilities
Everything llm integrations should do — and a few it usually doesn’t.
Drop-in features in existing apps
Prompt caching for cost and latency
Streaming and tool-use
Eval harness and regressions
BYO model (Claude, Gemini, OSS)
Use cases
Built for teams like yours
Common scenarios where this product or service delivers the highest leverage.
- Adding AI summaries to dashboards
- Smart search across product catalog
- Auto-drafting CRM emails
Tech stack
Tools we typically reach for
Chosen for fit, not fashion. Swappable based on your team’s constraints.
Pricing
Custom-scoped, transparent.
Starter engagements from a fixed scope. Long-term partnerships with monthly retainers. Talk to sales for an exact estimate.
Request a quoteFAQ
Common questions about llm integrations
How long does a typical llm integrations project take?+
It depends on scope. Small focused engagements ship in 2–4 weeks. Full builds typically run 6–12 weeks with a phased rollout.
Do you offer ongoing support after launch?+
Yes. Every engagement comes with a defined support window, and most clients move to a monthly retainer for continuous iteration and on-call coverage.
Can we self-host or do you provide hosting?+
Both. We can deploy to your cloud accounts (AWS, GCP, Azure, on-prem) or host and operate it for you under SLA.
Will I own the code and data?+
100%. All code, IP and data belong to you. We provide full documentation, repos and runbooks at handover.
Ready to scope a llm integrations project?
Send a brief, a sketch or a question. We reply within one business day.