Two paradigms of software
Neural networks are brilliant at perception, while symbolic logic excels at reasoning. UnlikelyAI combines them into a single, cohesive architecture for truly intelligent, explainable decision-making.
Two paradigms of software
Neural networks are brilliant at perception, while symbolic logic excels at reasoning. UnlikelyAI combines them into a single, cohesive architecture for truly intelligent, explainable decision-making.
Two paradigms of software
Neural networks are brilliant at perception, while symbolic logic excels at reasoning. UnlikelyAI combines them into a single, cohesive architecture for truly intelligent, explainable decision-making.
Two paradigms of software
Neural networks are brilliant at perception, while symbolic logic excels at reasoning. UnlikelyAI combines them into a single, cohesive architecture for truly intelligent, explainable decision-making.
Two paradigms of software
Neural networks are brilliant at perception, while symbolic logic excels at reasoning. UnlikelyAI combines them into a single, cohesive architecture for truly intelligent, explainable decision-making.
Perception
Neural
Reads the “messy” world brilliantly
Turns documents into structure
Finds patterns and context
Reasoning
Symbolic
Exact and explainable
Makes critical decisions
User remains in charge
Neural where it must be.
Symbolic where it matters most.
We have unique technology that gets the best of both worlds. Most neurosymbolic AI still lets the model make the final call. We don’t. The structure does.
UnlikelyAI’s Neurosymbolic Model
Rules go in as documents. Decisions come out as small, logged, deterministic steps.
UnlikelyAI’s Neurosymbolic Model
Rules go in as documents. Decisions come out as small, logged, deterministic steps.
Ingest once. Reason forever.
STRIDE: Semantic Translation Into Deterministic Execution
Your rules are ingested once into a structured ruleset you can open, edit and validate. Every decision after that is a small question answered against that ruleset, deterministically.
Read our founder’s essay on STRIDE
STRIDE: Semantic Translation Into Deterministic Execution
Your rules are ingested once into a structured ruleset you can open, edit and validate. Every decision after that is a small question answered against that ruleset, deterministically.
Read our founder’s essay on STRIDE
Where it’s used
Every capability runs on your rules, built once, then reused everywhere you need it.
Where it’s used
Every capability runs on your rules, built once, then reused everywhere you need it.
Financial services
Every message checked against your rules, in real time, before anyone sees it.
Financial services
Every message checked against your rules, in real time, before anyone sees it.
Financial services
Every message checked against your rules, in real time, before anyone sees it.
Accounting
Every requirement worked through against evidence, with the trail to prove it.
Accounting
Every requirement worked through against evidence, with the trail to prove it.
Accounting
Every requirement worked through against evidence, with the trail to prove it.
Insurance
Trusted by insurers for high-stakes decision-making across the full policy lifecycle.
Insurance
Trusted by insurers for high-stakes decision-making across the full policy lifecycle.
Insurance
Trusted by insurers for high-stakes decision-making across the full policy lifecycle.
Built with a Tier 1 UK bank
Developed and tested against a live guardrailing use case with a tier 1 UK bank, screening customer and assistant conversations for economic crime.
Built with a Tier 1 UK bank
Developed and tested against a live guardrailing use case with a tier 1 UK bank, screening customer and assistant conversations for economic crime.
