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solvence

Make room
for better work.

We help businesses use AI to reduce repetitive work, remove bottlenecks and become more capable over time.

The value should show up in the working day.

Every business has work that holds it back. Information someone spends hours looking for. The same details entered into three systems. A customer waiting for an answer.

We believe technology should help remove those limits. Its value should be visible in a task finished sooner, a problem caught earlier, or a customer served better.

That is why we are building Solvence.

The Solvence manifesto

A practical kind of ambition.

Start with the work.

Understand the people, systems and constraints before deciding what to build.

Make progress measurable.

Agree on what improvement looks like, test in everyday use and learn from the results.

Build around people.

Involve the team early and make it clear where human judgement matters.

Own the whole journey.

Connect discovery, engineering, adoption and ongoing improvement.

Built for one business.
Created for many.

Your challenge. A solution that fits.

We work closely with businesses to understand a particular problem, build around their systems and help their teams put the solution to use.

Useful ideas, within wider reach.

Our ambition is to develop products of our own, bringing what we learn from real business needs to tools more teams can use.

The materials of useful AI.

Data infrastructure

Bring the information a workflow needs into a usable, dependable foundation.

System integration

Connect existing tools so information can move with the work.

Workflow automation

Reduce repetitive steps and make handovers easier to follow.

Document intelligence

Find, extract and organise information with references to its source.

Decision support systems

Surface context and options for the people responsible for decisions.

Agentic infrastructure

Give agents bounded tasks, the right tools and clear points of escalation.

Human-in-the-loop review

Put human judgement where the consequences call for it.

Model evaluation and governance

Test behaviour against real tasks and keep a record of what changes.

Secure deployment

Design access, monitoring and operational ownership into the solution.