ReadiChat
Mission team collaborating in a high-technology operations center
Federal Mission AI Platform

Mission intelligence,
in real time.

Analyze live sensor data, coordinate specialized agents, and deploy trusted workflows with enterprise-grade control.

See Mission Workflow
01Live sensor inputs
02Grounded evidence
03Tested agents
04Edge / on-prem deployment
01
01.Mission Fit
Built for operational reality

Built for federal mission environments.

ReadiChat is built for mission teams that need AI inside real workflows, not isolated demos. Connect live data, operational tools, approved knowledge, and specialized agents into governed workspaces that can be tested, deployed, and managed across federal environments.

Soldier using a mission tablet beside a military platform
AI at the point of decision
01 / DATA

Live operational data

Ingest and analyze sensor feeds, weather data, signal and spectrum data, audio, imagery, logs, and other mission inputs.

02 / KNOWLEDGE

Grounded mission knowledge

Keep outputs tied to approved documents, source citations, SOPs, manuals, figures, and operational context.

03 / QUALITY

Tested specialist agents

Validate behavior before deployment using inherited tests, guardrails, scope boundaries, and multi-turn evaluation.

04 / CONTROL

Governed deployment

Control who can build, publish, access, audit, and roll back agents by role, unit, AOR, or mission context.

02
02.Platform
Mission-ready agents

Build, configure, and deploy mission-ready agents.

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.

From governed building and testing to operational access, one managed lifecycle connects approved capabilities, mission context, deployment targets, and evidence.

READICHAT / AGENT BUILDER
ReadiChat Agent Builder dashboard
Agent Builder InterfaceCreate • Test • Publish • Deploy

Base agent library

Start from curated, published capabilities for EW, Weather, or custom mission domains.

Specialist configuration

Add unit policies, procedures, knowledge, variables, and operational constraints without rebuilding.

Automated validation

Run inherited and specialist-specific Gold I/O, guardrail, scope, and multi-turn tests.

Controlled publishing

Review, approve, publish, restrict, monitor, version, and roll back agents across contexts.

03
03.Agent Builder
AI-assisted agent factory

A repeatable factory for mission workflows.

Start from approved base capabilities, tailor them to a unit or operational context, inherit baseline tests and guardrails, then publish with controlled access and full version history.

01

Inherit & Extend

Start from a published base agent. Inherit its capabilities, tests, and guardrails. Add unit-specific policies, procedures, and knowledge.

02

Create Specialists

Design Specialist agents for specific deployments, units, or agent sets, with domain-specific validation.

03

Automated Testing

Run Gold I/O, Guardrail, Scope, and Multi-Turn suites so every Specialist meets its inherited standard.

04

Govern & Deploy

Control draft, review, publish, unit visibility, AOR, clearance, and deployment context.

05

Version & Rollback

Track changes, restore prior versions, and maintain an auditable operational history.

06

Lift & Shift

Move agents between unit contexts and adapt to new deployments without rebuilding from scratch.

From base agent to specialist

Five controlled steps to deployment.

1

Select Base Agent

Choose from a curated library of mission-ready capabilities.

2

Configure for Unit

Add policies, procedures, knowledge sources, and constraints.

3

Create Specialist

Publish a configuration that inherits approved baseline tests.

4

Test & Validate

Run automated suites against base and unit requirements.

5

Deploy & Manage

Control visibility, monitor use, and manage operational versions.

04
04.Personalization
User context layer

Configured for your users, not forced into one default.

Memory and variables shape agent behavior. Teams can build repeatable workflows that become more useful over time without rebuilding for each user or mission.

Role & Permissions

  • User role
  • Team or unit
  • Access scope

Mission Context

  • AOR and platform
  • Tasking context
  • Operating environment

Memory

  • Persistent preferences
  • Working context
  • Learned patterns

Agent Variables

  • Session inputs
  • Thresholds
  • Output constraints
ReadiChat personalization settings
User personalizations
ReadiChat governed memory settings
Memory that shapes behavior
ReadiChat agent variables
Agent variables per session
05
05.Operational Domains
Purpose-built agent suites

Built around the mission, not a generic chatbot.

Domain-specific suites for Electronic Warfare and Aviation Weather operations, with extensibility for custom federal and partner capabilities.

6 EW agents / 12+ specialists

Electronic Warfare

Purpose-built EW agents for spectrum analysis, mission planning, communications resilience, and reporting, grounded in approved doctrine.

  • Spectrum & Signal Analysis
  • EW Mission Planning
  • Comms Resilience & Jamming
  • Training & After-Action
Mission cyber and communications operations center
EW Mission Planning Agent
Signal & Spectrum Analyst

6 agents / 18+ specialists

Weather Wingman

Aviation weather agents convert METARs, TAFs, satellite data, and mission constraints into operator-ready assessments with explicit reasoning.

  • Operational Weather Briefs
  • Go / No-Go Decision Support
  • Satellite Imagery Interpretation
  • Route & Sensor Effects
Weather analyst monitoring forecast data in a command center
Weather Impact Analyst
Aviation Weather Coach
06
06.Workflow
Continuous context flow

From task to task, with grounded answers.

Agent handoffs, live inputs, mission tools, and evidence remain connected inside one continuous workspace.

01
Automatic

EW Mission Planning

Define frequency ranges, radio settings, and scan parameters.

02
Automatic

Signal & Spectrum Analyst

Collect, classify, triage emitters, and highlight anomalies.

03
Manual Trigger

UAS Comms Link Expert

Match waveforms to drone type, manufacturer, and link profile.

04
Context Retained

Policy & Reporting

Check ROE and generate policy-compliant engagement reporting.

WORKFLOW ORCHESTRATION
ReadiChat workflow orchestration interface
Build custom workflowsAutomatic + human-approved handoffs

Automatic handoff

Conditions trigger the next agent immediately, reducing latency for time-critical operations.

Manual trigger

Operators approve handoffs before proceeding, maintaining human control for sensitive decisions.

Branch by mission state

Route by signal type, classification, confidence, engagement phase, or policy condition.

Secure mission systems in a mobile operations environment
Real-world inputs

Bring live mission data into agent workflows.

ReadiChat is not limited to text chat. Agents work with live data, operational tools, approved knowledge, and mission-specific APIs.

01

Sensor feeds & signal data

Analyze live spectrum, weather, audio, imagery, and operational streams.

02

Operational tools & APIs

Connect mission-critical systems, databases, and external sources.

03

Model flexibility

Use local models, hosted services, or customer-preferred inference endpoints.

ReadiChat input processing configuration
07
07.Evidence
Inspectable answers

Federal users need to understand why an agent gave an answer.

Citations, source files, figures, and supporting context stay visible so outputs can be inspected, challenged, and reused.

01

Question

A user poses an operational or technical question.

02

Evidence

Approved citations, figures, source files, manuals, and context are retrieved.

03

Judgment

A structured, inspectable answer is grounded in the retrieved evidence.

RADAR PURPOSE ANALYST
Radar analysis answer with inline citations and supporting source visual
Inline citationsSource visual retained
SUPPORTING FIGURE
Visual answer with embedded figure from a source manual
EVIDENCE VIEW
ReadiChat grounded answer with supporting evidence panel

Source citations

Every answer links back to the documents, pages, and source material it drew from.

Embedded figures

Tables, diagrams, and visuals from source material appear in the operator’s working context.

Inspectable rationale

Users can inspect supporting rationale and evidence, not just accept a conclusion.

08
08.Testing
Validate before publication

Every deployable agent should be evaluated before operators depend on it.

Inherited tests, specialist-specific validation, guardrail checks, scope checks, output checks, and run history follow agents throughout the operational lifecycle.

100%Pass rate on published agents
4.5/5Average judge score
9Test components per specialist
58Specialists with active suites

Gold I/O

Validates answer format and content against known-good reference outputs.

Guardrail

Confirms the agent does not fabricate procedures, numbers, or unauthorized content.

Scope Boundary

Ensures the agent stays within its defined domain and authorized AOR.

Multi-Turn

Tests context retention and follow-through across multi-step conversations.

TEST RUN HISTORY
ReadiChat agent test run history
Inherited + specialist-specificTracked over time
09
09.Enterprise Deployment
Build / test / deploy / govern

One managed lifecycle from builder to operational access.

Support edge, on-prem, hybrid, and controlled cloud deployment models while governing who builds, approves, uses, and audits agents.

Managed agent lifecycle
Build

Agent Builder

  • Base agent
  • Specialist config
  • Inherited tests
  • Approval workflow
→
Deploy

Targets

  • Edge / on-prem
  • Hybrid
  • Controlled cloud
  • Customer inference
→
Access

Agent Hub

  • Admin
  • Builder
  • Operator
  • Viewer

On-prem and edge pathways

Support patterns where models, agents, tools, and data remain inside controlled infrastructure.

Governed agent sharing

Publish to specific teams, units, roles, or operational contexts with controlled visibility.

Role-based access

Define who can build, approve, use, audit, and modify agents across the platform.

Audit and rollback

Track agent changes, publication, access decisions, tests, operational use, and version restoration.

IL4 / IL5 aligned controls

Deployment architectures can be mapped to Impact Level control expectations, including encryption, logging, and access control.

FedRAMP pathways

Architecture and controls can support federal cloud authorization pathways where required by the customer environment.

Audit & logging

Maintain traces for changes, publishing, tests, access decisions, and operational use.

Data isolation

Support deployment models where agency or partner data remains within approved boundaries.

ENTERPRISE GOVERNANCE
ReadiChat enterprise governance and deployment interface
Permissions • Versions • Audit • UsageGoverned operational lifecycle
Federal operator using a mission tablet
For Federal Agencies

A controlled path from prototype to production.

Analyze live inputs, use approved knowledge, inspect evidence, and deploy specialized agents with the governance expected in federal environments.

  • Operational relevance
  • Evidence & auditability
  • Human control
  • Deployment flexibility
For Technology Partners

Bring mission data and analytics into governed workflows.

Expose signal analysis, sensor feeds, domain tools, and specialized models through tested agents with enterprise access control and version management.

  • Integrate data & APIs
  • Expose tools through agents
  • Test before deployment
  • Govern enterprise rollout
10+

U.S. Government agencies & defense teams

Trusted by mission-critical teams across Electronic Warfare, Weather Operations, and Intelligence Analysis.

Start a conversation

Bring governed AI into mission workflows.

Talk with the ReadiChat team about agency deployment, partner integration, operational data sources, and mission-specific agent development.

Discuss Partner Integration