Drop-In Integration
Zero code changes. No sprint allocated. No instrumentation on your agents. You go live the same day.
AGENTIC AI INFRASTRUCTURE
Claritiq sits between your agent fleet and your LLMs. Every decision: analyzed, governed, and costed in real time. You don't just observe. You operate.
Framework agnostic · Zero code changes · Sub-50ms overhead
THREE PILLARS OF AGENT MANAGEMENT
Captures 100s of cognitive signals per turn and maps every decision to your agent's goal, reasoning, intent, and drift; correlated directly to ground-truth business outcomes.
The Flywheel continuously optimizes your agents' quality: mid-session guidance is injected to correct failing behaviors.
ZERO DISRUPTION DEPLOYMENT
Zero code changes. No sprint allocated. No instrumentation on your agents. You go live the same day.
Any framework. Any LLM. Any orchestrator. Build on what works today, migrate tomorrow. Your governance layer never changes.
Every decision governed in under 50ms. Your agents don't slow down. Your customers notice nothing.
Cognitive Analytics
Claritiq intercepts every agent session in real time, mapping reasoning traces, scoring confidence, and enforcing business policy before a single output reaches your customers.
THE AGENTIC AI CHALLENGE
You own agentic AI end-to-end — from prototype to production to business value.But once agents go live, 95% of their logic is invisible.
Your agents reason, decide, and act — but you can't see why. When one fails in production, there is no trail and no root cause.
Datadog, LangSmith, Amplitude — every tool you already run watches logs and clicks, not cognition. They see what happened. Never the why an agent failed its goal.
Agents hallucinate discounts, break compliance, go off-script. Every bad output is yours to answer for — hitting NPS, churn, and margin.
Of organizations already suffer negative consequences from GenAI hallucinations
Source: McKinsey / Accenture
Of GenAI pilots never reach production
Source: McKinsey / Accenture
Of executives have already acted on AI outputs that were wrong
Source: McKinsey / Accenture
The Claritiq Advantage
They were built for a world where humans clicked buttons. Your agents don't click anything.
Your agents aren't web users. Stop analyzing them like they are.
THE FOUNDERS
Between them: one founded-and-exited IoT security company, two acquisition exits, and forty years inside Nokia Bell Labs, Acme Packet, Jajah, Check Point, IBM, Cato Networks, and Meta. The kind of track record that earns the right to build this.
Yossi Atias · Co-Founder & CEO
Founded Dojo-Labs, an IoT security company acquired by BullGuard, where he ran the global IoT security business. Before that: COO at Jajah (acquired by Telefonica), Head of Cloud Strategy at Acme Packet (acquired by Oracle), GM at Nokia Israel. Holds a U.S. patent in network security architecture. He's built, scaled, and exited, and kept running into the same problem: systems that act but can't explain themselves. Claritiq is the fix.
Dojo by BullGuard · ForeScout · Acme Packet · Telefonica · Jajah · Nokia Networks and Bell Labs
Ami Tuchman · Co-Founder & CTO
Spent two decades building systems where a single failure has real consequences, cybersecurity infrastructure at Check Point, enterprise platforms at IBM, cloud networking at Cato Networks, and hyperscale systems at Meta. Every role demanded the same thing: explainability, auditability, and control. Claritiq is that standard, applied to AI.
Cato Networks · Meta · IBM · Check Point
The future of enterprise is agentic. Claritiq makes it profitable.
SEE IT IN ACTION
We'll reach out within 24 hours. 30 minutes. Your questions, your agenda.
Claritiq is a cognitive product intelligence platform for enterprise teams building with AI agents. It gives product teams complete visibility into how their AI agents think — mapping the full reasoning chain from prompt to output — and real-time control over how they execute through deterministic business policy enforcement and sub-50ms hallucination detection.
Amplitude, Datadog, and Mixpanel were built for the web era — they track clicks, page views, and system metrics. They cannot see inside AI agent reasoning. Claritiq was built specifically for the agentic era: it maps reasoning traces, detects intent drift, scores goal completion, and enforces business policies directly inside the agent workflow before any output reaches a customer.
Cognitive product intelligence is a new category of enterprise software that gives product teams visibility into the reasoning and decision-making of AI agents — not just their outputs. Unlike traditional product analytics that tracks user behavior, cognitive product intelligence tracks agent behavior: how it reasoned, what tools it used, whether it stayed on goal, and whether its outputs were safe to deliver.
No. Claritiq is a drop-in, framework-agnostic platform that operates as a transparent layer between your AI agents and your LLM providers. It requires zero code changes on the agent side and supports any agent framework including LangGraph, CrewAI, Swarm, and AutoGen, as well as any LLM provider including OpenAI, Anthropic, Gemini, and Meta.
Claritiq detects, scores, and intercepts risky agent outputs in under 50 milliseconds — before they reach a customer, a transaction record, or a downstream system. The cognitive interception engine evaluates every agent output for risk in real time and can redirect or rewrite risky outputs automatically.
Claritiq was founded by Yossi Atias (Co-Founder and CEO) and Ami Tuchman (Co-Founder and CTO). Yossi brings two decades of enterprise product experience from Nokia Bell Labs, Acme Packet, Jajah, and Dojo by BullGuard. Ami is a distributed systems architect with experience at Cato Networks, Meta, IBM, and Check Point.
Claritiq is built for enterprise compliance requirements with GDPR and HIPAA support. It provides a complete audit trail of every agent decision and intervention, with built-in compliance guardrails for regulated industries including financial services, healthcare, and insurance.