Production AI for SaaS
and platform teams.
When AI is on the roadmap but the capability is not in-house, we build the service, feature or product layer that gets it shipped properly.
Why teams like this come to us.
You have AI features on the roadmap, but nobody has properly scoped the architecture, data requirements or cost envelope.
Your team is strong in product and software delivery, but not in ML systems, retrieval, model evaluation or production AI infrastructure.
You have tried to hire for this depth and the role is still open.
You suspect there is a product line hidden inside your data, workflows or customer relationships, but you have not validated it yet.
How our services show up in SaaS and platforms.
Prioritise the roadmap, define the first worthwhile build, and separate real product opportunities from AI noise.
Ship a production AI capability into your stack via API or MCP, ready for your engineers to integrate.
Build internal tools for operations, support, review or analyst teams that need AI inside the workflow.
Turn a validated opportunity into a recurring-revenue product your market will actually pay for.
What we build for SaaS and platform teams.
AI capabilities your engineers can call from existing products
Production-grade services exposed via API or MCP — scoped, built and maintained so your team can integrate without owning the ML.
Retrieval, search and knowledge systems built around proprietary data
RAG systems, vector search, and semantic retrieval built on your own content, documents and data — not generic off-the-shelf tooling.
Internal tools for support, operations and analyst teams
Copilots, review tools and workflow applications that reduce repeat work and get AI into the hands of the teams who need it most.
New AI-native products or product lines built around your domain advantage
Products that package your data and expertise into a recurring-revenue line your customers would pay for — from validated idea to live product.
Relevant proof.
Production AI capability, custom models where off-the-shelf is not enough, and productised AI experiences — built and running.
ExtremeReach Visual Intelligence
Four computer vision capabilities — frame search, semantic deduplication, logo detection, scene classification — running at broadcast scale. Cost-engineered to 10× below standard vector DB solutions.
Read case studyXR Diversity Intelligence
Diversity and representation monitoring across a global broadcast content library, built on custom models trained to client-specific definitions and scales.
Read case studyTrust OS
AI-powered brand trust platform covering trust signal monitoring, scoring and intelligence across seven sectors — built as a productised AI experience.
Read case studyAskPhi
Consulting expertise packaged into an AI product that clients can interrogate directly — domain knowledge made accessible at scale through retrieval-augmented AI.
Read case studyPlanning an AI capability
your team can't hire for?
Start with Lean AI Strategy or book a discovery call.