KynticAI
Loading…
Founder view
Paul Maddison · Founder, KynticAI
“I want AI to do the reasoning. I do not want it inventing the facts, maths and company rules it reasons from.”
KynticAI Intelligence Engine
The Intelligence Engine is the horizontal product. It works across the systems and data a company already owns, prepares the business situation before AI reasons, controls what can happen next and keeps the measured result for future decisions.
AI reasons. KynticAI understands.
The hard parts around the model are the product
KynticAI does not throw a pile of company data at a model and hope the prompt reconstructs the business correctly. The engine prepares a governed decision first.
01
Connect the records that describe the same customer, supplier, product, account, event or decision without inventing facts that are not there.
02
Preserve what happened when and what the company actually knew at the point a decision was made.
03
Know where every important fact came from so a recommendation can be checked instead of merely trusted.
04
Turn changing company activity into useful questions instead of waiting for somebody to notice the problem and write the perfect prompt.
05
Bring the right facts, relationships, calculations, evidence quality and practical choices together before the model sees the decision.
06
Keep probability, likely benefit, cost, downside, delay and opportunity cost visible instead of hiding the decision inside one score.
07
Apply company policy, approvals and execution boundaries before approved work goes to staff, workflows or Outcome Agents.
08
Connect what happened afterwards back to the original decision so the next similar case starts with more company experience.
KynticAI builds the understanding first. AI is used where reasoning is needed.
KynticAI learns from your organisation, not a generic idea of a company.
Business probability
The AI does not guess the numbers. The Intelligence Engine calculates them.
Probabilities are not AI confidence scores. They describe likely business results calculated from company evidence, relationships and measured outcomes.
Not predictions in isolation. Decisions with evidence, probability and consequence.
Engine and model
The Intelligence Engine keeps deterministic company truth, time, calculations, evidence, policy and memory. The KynticAI model reasons over the prepared case instead of being asked to recreate the company from a prompt.
Intelligence Engine
Company truth and identity
Event time and knowledge time
Provenance and evidence quality
Relationships and repeatable calculations
Attention and question generation
Act-versus-do-nothing comparison
Policy and governed execution
Decision history and measured outcomes
KynticAI model
Reason over a prepared business case
Explain what may be happening
Challenge weak or conflicting evidence
Suggest useful next questions
Recommend from the choices the business can actually take
Useful from the first connected data
Most companies already have historic data, so the maths can start working from day one. In a genuinely new estate, useful maths starts after the first day or two; as approved actions produce measured outcomes, the engine becomes better informed and later decisions improve.
The system starts with what the company already knows and compounds from what happens next.
KynticAI model
KynticAI is our engine and our model, delivered as one private intelligence system inside your customer-controlled infrastructure. We customise both for each customer through specific configuration and approved customer training data, shaped around your systems, priorities and governance boundary. Both are efficient and compact enough to run cost-effectively on your infrastructure, with very low compute requirements and no external model-meter dependency for the core workload.
Our engine and our model are the product. They are configured, evaluated and operated together for the way your company works, with approved training data available where customer-specific adaptation is the right route. The result stays inside your boundary and makes the most of your existing compute.
See it on your company
The proof estates live under Proof and Case Studies. They demonstrate portability; they do not define which companies or industries the Intelligence Engine can support.
Request a Commercial Twin