In-Model AI Assurance & Control
Access model internals, control what matters, prove outcomes with hard evidence. 99%+ effective.
Defence | Healthcare | Critical Infrastructure | Financial Services
Cracking the Black-Box with 'In-Model' Technology
One Platform to Measure, Control, Comply
Measure
TIKOS captures a Causality Trace. A complete, structured account of the model's internal operations at run-time. This is your system of record for inference.
Control
Causality Traces become Profilers that enforce control over model behaviour: bias, robustness, security, accuracy and more. Use ours or quickly build your own.
Comply
Every trace doubles as audit evidence, proving exactly how inputs caused an output - why the model behaved as it did. Map directly to compliance workflows.
Patent-Pending, Validated Technology
Get back in control with TIKOS® Profilers
Compatible with all deep-learning model classes: LLMs, vision, regression, classifiers, etc. Options for open-weights and closed models. Profilers are binary classifers, built from Causality Traces, that tell you if a model behaves within tolerance - or not. They run in parallel, so you can run multiple controls without latency bloat (<50ms). We maintain various Profilers for easy deployment, or build your own and deploy in under an hour. 99%+ effective.
Step 1 · Model at run-time → Causality trace
Step 2 · Causality traces → Profile boundary
CyberProfiler
CyberProfiler is an effective guardrail for stopping prompt injection attacks in LLM and agentic systems. It relies on a 'malicious intent' signature that fires in LLMs' activation space whenever a prompt injection is included within an input.
InputProfiler
For most AI enabled systems, it is possible to define what usual, expected, legitimate use looks like. If you need to make sure only these allowable inputs enter your system, create an InputProfiler from a representative dataset.
BiasProfiler
For deep-learning models used in financial services to score credit or identify fraud, bias represents a significant regulatory and reputational risk. BiasProfilers can identify bias in the data or model, pin-point how to fix it and monitor for drift in production.
[BuildYourOwn]Profiler
Highest performance comes when you build your own. Create controls for any model behaviour you care about, for example an FCA regulated firm cared about identifying when a consumer chatbot crossed from 'general guidance' to 'regulated advice'.
TIKOS® solves the core challenges for Trustworthy AI development, deployment, procurement, and monitoring.
Regulations First Design
Built with the end in mind, platform capabilities are design to explicitly satisfy Trustworthy AI laws and regulations.
Simple Integration
Add to your pipelines using a simple SDK to collect Causality Traces, build Profilers and demonstrate compliance.
Tech + Product + GRC
Stop messy handoffs and drastically cut compliance and tech debt. One accurate, reliable source of truth for all.
Future Proof
Regulators and users are demanding more transparency and explainability; current input/output approaches fall short.
