ReadiChatReadiChat connects specialized agents, grounded knowledge, operational workflows, and enterprise controls into one AI workspace built for real work.

ReadiChat's platform provides the tools to create Specialist agents from base agent templates, configure them for your unit's policies and procedures, and personalize them for your users' roles and workflows.
Agent Builder is the core platform for creating Specialist agents that inherit base agent capabilities and tests, then extend them for specific deployments, units, and operational contexts. Build once, deploy anywhere.

Create Specialists, manage tests, and deploy across your organization
Each base agent is a fully-tested, published specialist template. Teams create Specialists from base agents — inheriting all tests and adding unit-specific policies and procedures.



Personalization
ReadiChat adapts to role and context. Memory and variables shape agent behavior. Teams can build repeatable workflows that become more useful over time — without rebuilding from scratch for each user or mission.

User personalizations

Memory that shapes behavior

Agent variables per session
ReadiChat provides domain-specific agent suites for Electronic Warfare and Aviation Weather operations, with extensibility for custom domains.
Electronic warfare operations generate high volumes of signal data, mission planning requirements, and reporting obligations — across spectrum analysis, comms resilience, radar interpretation, and training. ReadiChat addresses this with a suite of purpose-built agents that ground every output in the approved EW technical corpus, enforce policy boundaries, and carry context forward across the mission workflow.

EW base agents in ReadiChat — 6 agents · 12+ specialists
Aviation and operational weather decisions require fast, accurate interpretation of METARs, TAFs, satellite imagery, and forecast products — under time pressure, with direct consequences for mission go/no-go. ReadiChat addresses this with agents that convert raw weather data into operator-ready assessments, grounded in authoritative sources, with explicit reasoning visible at every step.

WxW base agents in ReadiChat — 6 agents · 18+ specialists
ReadiChat orchestrates agent handoffs, grounds every output in source material, and connects live inputs and tools into one continuous workspace.
Mission planning sets the scan parameters. OmniSIG collects and classifies the spectrum. UAS Expert matches the waveform to a specific drone and manufacturer. EW Policy & Reporting generates the engagement report — all in one continuous workspace.
Design workflows tailored to your operational needs. Control handoffs between agents — trigger automatically based on conditions, or require manual approval for critical decisions. Branch workflows based on signal type, drone classification, or engagement phase.


Real-World Inputs
ReadiChat is not limited to text. Agents can accept audio input, connect to external tools, and switch between local and hosted models — making it operational inside real working environments, not just demo scenarios.
Evidence
ReadiChat is built for trust, not just fluent generation. Answers are grounded in source material — with citations, figures, and evidence visible at every step.

Radar Purpose Analyst — inline citations and supporting visual from source document

Sceptre Analysis Assistant — visual answer with embedded figure from manual
Every answer links back to the documents and pages it drew from.
Tables, diagrams, and visuals from source material appear inline.
Users can see the agent's thought process, not just the conclusion.
ReadiChat's built-in Test Suite validates agent behavior before deployment — covering identity, guardrails, scope boundaries, output format, and multi-turn coherence. Specialists inherit base agent tests and add their own.
Validates that the agent produces the correct answer format and content against known-good reference outputs.
Confirms the agent refuses to fabricate procedures, numbers, or sensitive content outside its authorized scope.
Ensures the agent stays within its defined domain and does not answer questions outside its authorized AOR.
Tests coherence across multi-step conversations, including follow-through on recommendations and context retention.

Test Cases — inherited + specialist-specific tests

Coverage — component pass rates at a glance

Run History — full audit trail with judge scores
Enterprise
ReadiChat is designed for real organizational rollout — not just experimentation. Local deployment, governed sharing, and permission-based access give enterprise teams the control they need.
ReadiChat meets the strictest security and compliance requirements for defense and government operations. All deployments support IL4/IL5 security controls and are FedRAMP-ready for federal cloud environments.
IL4 / IL5
Support for Impact Level 4 and 5 security controls. Encryption, audit logging, and access controls built-in.
FedRAMP READY
Architecture and controls aligned with FedRAMP requirements for federal cloud deployments.
AUDIT & LOGGING
Complete audit trails for all agent operations, deployments, and access. Compliance-ready reporting.
DATA ISOLATION
Agents and data remain within your infrastructure. No external dependencies or cloud sync.
U.S. Government agencies & defense teams
ReadiChat is trusted by mission-critical teams across Electronic Warfare, Weather Operations, and Intelligence Analysis. Deploy with confidence.
Talk to the team about how ReadiChat fits your organization's workflows and deployment requirements.