Making AI trustworthy, explainable, robust and affordable.
That is our mission. SynaLinks is an AI engineering team: we make SynaLemma, which answers questions about your business data and shows the rule behind every number, and we author the open-source engines it runs on.
Most companies have capable models. What they lack is a way to check the answers.
In two years we've worked with a dozen companies, and it was the same story every time: capable teams, valuable data, ambitious AI plans, and pilots that never shipped. The models were good enough. What was missing was a way to tell whether their answers were right, and where they came from.
We built SynaLemma for that: an AI that writes the rule behind every figure, has it verified by a logic engine, and runs it on the company's data, where it lives.
We built every layer of it ourselves.
Most AI products combine someone else's model with someone else's framework. We wrote the framework the agent runs on, the logic engine that verifies its rules, the format the knowledge is kept in, and the product that assembles them. Three of the four are open source.
Because we wrote all four, the parts are designed to fit together, and we can tell you exactly what SynaLemma does and does not do. Synalinks, the framework, was developed under the supervision of François Chollet, the author of Keras.
Four principles.
The engine reasons, not the model
Every inference is made by a logic engine and can be replayed.
Verified before it answers
Every rule is verified, then run on your data, before an answer is given.
On your infrastructure
Your servers, the model you choose, and rules that remain your files.
Yours to own
Your rules are files in git, on open-source engines. They keep running if you stop working with us.