01
Capture
Receive messages, links, screenshots, claims, domains, vendors, alerts, and public signals.
Catalog AI–ERA–001Chennai / Est. 2025
Trust infrastructurefor the AI-era internet.
We build the trust layer between people, organizations, and the internet.
Read the field noteMission
Trust is becoming infrastructure.
As the internet becomes more synthetic, people and organizations need systems that can evaluate signals before they become decisions.
Analog Intelligence builds that infrastructure: agents, evidence pipelines, watch systems, and decision layers that make internet-facing risk understandable and actionable.
Dependable judgement, built into software.
How we operate
From signal to judgement.
A message, screenshot, domain, vendor, claim, or alert is never treated as just a prompt. It becomes a case.
We structure the evidence, identify entities and claims, check sources, model risk, and return a judgement that can be explained, audited, and acted on.
The output is not content. It is operational intelligence.
02
Structure
Break signals into entities, sources, claims, context, contradictions, and evidence.
03
Verify
Check credibility, provenance, consistency, public sources, and risk patterns.
04
Judge
Score what is risky, unsupported, urgent, relevant, or actionable.
05
Act
Turn findings into briefs, reports, watches, cases, alerts, or workflow actions.
System 01 / Kaval
A trust agent for the open internet.
Kaval turns messy digital signals into structured cases—then extracts entities, checks sources, models risk, preserves uncertainty, and explains the judgement in plain language.
For people, Kaval helps decide what to trust and what to avoid. For teams, the same system becomes watches, briefs, investigations, reports, and handoffs.
Signal intake
Messages, links, screenshots, images, claims, domains, vendors, pages, alerts, and workspace signals.
Evidence structure
Sources, entities, claims, observations, contradictions, and context made legible.
Risk judgement
A clear view of what is risky, unsupported, urgent, relevant, or actionable.
Specialist workflows
Verification, scam risk, media analysis, source search, investigation, watch logic, and synthesis.
Memory and watches
A durable understanding of what matters, with watches for meaningful change.
Action layer
Findings become briefs, reports, cases, alerts, watches, handoffs, or workflow actions.
The interface is simple. The judgement layer underneath is not.
Research principles
How we build systems worthy of trust.
Sources before answers
Trust starts with where a claim came from, not how convincing it sounds.
Preserve uncertainty
A useful system knows the difference between evidence, inference, and absence.
Judgement you can defend
The path from signal to decision should remain visible, inspectable, and accountable.
Human in the loop
High-stakes decisions keep people in control of context, thresholds, and action.
Contact / Collaborate
Building with teams where trust is operational.
We work with select teams on digital risk, verification, investigation, watch, and trust-decision systems.