For software and technology companies

AI inside your product

Your customers are asking for AI features and your roadmap is already full. We build them alongside your team, to your standards, and hand them over.

Sector
SaaS & B2B Tech
Ready to build
4 of them
First reply
Within the hour

Where AI helps in saas & b2b tech

  • 01Search and answers over your own documentation
  • 02An assistant built into your product
  • 03Onboarding that walks new users through it

Answers over your documentation

Users ask a question inside your product and get an answer from your own documentation and help articles, with a link to the source. Support volume drops, and you find out what people cannot figure out.

An assistant in the product

Something that helps users do the thing your product is for, rather than a chat window bolted to the corner. It can read what is on the user's screen, take actions on their behalf where you allow it, and hand over to a human where you do not.

Onboarding

New users get walked through setup, prompted at the right moments, and helped through the point where they usually give up. Activation is normally the cheapest number in the business to move.

How we work with you

Your repository, your review process, your deployment. We write the tests and hand over documentation your engineers can maintain. You are not buying a black box you have to come back to us to change.

Work we have done in saas & b2b tech

The problem, what we built, and what changed afterwards.

[ 01 ]

An assistant inside their product, with no rebuild

Anonymised · B2B SaaS platform

The problem

They wanted an AI copilot in their app but couldn't afford to re-architect to get it.

What we built

An assistant and a search box built into their existing product, using their own logins and data, with a test set and clear limits so quality holds as they keep shipping.

What changed

A reliable AI feature launched fast, and measurable, so it stays accurate.

0rebuild required
24/7in-product AI
Built with
  • Gemini (RAG)
  • Supabase (pgvector)
  • Next.js
  • Eval pipeline

Questions we get about AI for saas & b2b tech

What's the fastest AI win for a SaaS product?

A support assistant grounded in your docs and help centre. It deflects the repetitive tickets and cites the document it answered from, so trust stays intact. In-product onboarding copilots are the usual second step.

Can you build AI features into our existing product?

Yes, that's most of this work. We add search, summarisation, copilots, and agents to your existing codebase without a rewrite, and hand the code to your team.

Will our customers' data be used to train models?

No. Your data and your customers' data stay in your infrastructure and are never used for training. We can keep everything in a region you specify.

Which models and infrastructure do you use?

Claude, GPT, or Gemini depending on cost, latency, and quality for the task, with your own database or Pinecone for retrieval, all kept behind an abstraction so you can swap providers without a rewrite.

Build it for saas & b2b tech.

Pick what you need, or just describe it in your own words. We reply within the hour with a plan, a fixed price, and a start date.

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