Custom AI inside existing products
AI features added to your SaaS without rebuilding: copilots, semantic search, content generation, agents. Built as a parallel AI layer that talks to your existing APIs.
Service
AI Integration for Existing Software
When off-the-shelf vendor AI doesn't reach into your business.
Most SaaS now ships AI features: Salesforce, Notion, Microsoft Copilot. We build custom AI when those features don't reach your specific data, workflows, or compliance environment. Custom AI layers that live alongside your existing software.
Where we focus.
Six application areas where this service ships measurable results, chosen against the failure modes most growing businesses hit.
AI for non-Microsoft, non-Salesforce stacks
If your business runs on industry-specific or custom tools, vendor AI doesn't reach you. We build the AI layer that does.
Compliance-aware AI integrations
When SaaS vendors can't operate in your compliance environment: financial services, healthcare, government, we build custom on-prem or compliance-cleared cloud.
Semantic search & retrieval over your data
Search across your CRM, docs, tickets, and product data with grounded, cited answers. Built with your access controls, not a public LLM's defaults.
AI inside customer-facing portals
Assistants and agents embedded in your existing app or portal: onboarding help, self-serve support, in-product recommendations, without touching your core monolith.
Legacy modernisation with AI
Extend monolithic ERPs, claims systems, and admin tools with an AI layer that wraps the legacy core. Adds value without a multi-year rewrite.
FAQ
My SaaS already ships AI features. Why would I need custom? +
If those features cover your use case, you don't. We build custom when vendor AI doesn't reach your specific data, workflows, or compliance environment. First conversation, we'll tell you if vendor AI is the right answer.
How do you add AI without rewriting our existing code? +
Parallel AI layer that talks to your existing APIs and database. New AI features run in their own services. Your existing code is untouched unless we are adding a UI surface.
Will adding AI slow down our existing features? +
No. AI services run separately with independent scaling. AI calls happen async or behind feature flags.
How do you handle customer data privacy? +
Privacy is architectural. Per-customer isolation, role-based access, data masking before anything sensitive touches an AI API. For regulated industries we deploy on-prem or in confidential computing environments.
What does a typical integration engagement look like? +
A single AI integration takes 8-12 weeks end to end: discovery, build, eval, and rollout. Multi-feature builds run 12-16. We sit alongside your existing engineering team in your sprint cadence and hand the integration over with documentation and runbooks at launch.
Tell us what you're solving for.
We'll listen first, ask the right questions, and follow up with a clear proposal.