ResolveHD
ResolveHD offers ResAI, a governed AI platform that turns an organization's scattered data into secure, auditable, contextual intelligence for high-consequence environments. The platform grounds every answer in source records, validates outputs against institutional procedures, and maintains a complete audit trail of all queries and decisions. It deploys inside the customer's own environment and integrates with tools like Microsoft Teams, PowerBI, and CoPilot.
- Artificial Intelligence
- AI Agents
- Data & Analytics
- Enterprise Software
- Regulatory & Compliance Technology
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Organizations in high-consequence environments—such as healthcare, defence, and public safety—need to make decisions based on data scattered across multiple systems and formats. Traditional tools struggle to consolidate this data, and general AI assistants return answers that cannot be trusted because they lack grounding in source records, traceability, and alignment with institutional procedures.
Solution
ResAI provides a governed AI platform that turns an organization's data into secure, auditable, contextual intelligence. The platform ingests structured and unstructured data from sources like PDFs, audio, sensor feeds, and databases, then uses AI agents to interpret and extract entities, events, and relationships. Every output is validated by a "Judge" against the organization's defined procedures before reaching teams, and each answer is grounded in the source records that produced it. Users can ask questions in plain language, automate routine workflows, build dashboards by describing them, and route outputs for human review—all while maintaining a complete audit trail of every query, action, and decision.
Target Audience
Primary customers are organizations in high-consequence environments including healthcare providers, defence agencies, public sector institutions, and emergency services that require traceable, auditable AI-assisted decision-making.
Features
- Ingests any data type including PDFs, audio, sensor feeds, databases, and operational records, on schedule or on demand, inside the customer's environment
- AI agents transform raw content into entities, events, and relationships without manual tagging or replacement of existing systems
- A "Judge" validates every step against the organization's defined procedures, blocking outputs that fail validation
- Plain-language query interface that grounds answers in source records, eliminating the need for SQL or BI ticket queues
- Automation engine for scheduled queries, threshold monitoring, and routing outputs to the right reviewer for sign-off
- Natural-language dashboard builder that generates and refines dashboards through conversational requests
- Built-in audit trail logging every query, automation run, review action, and dataset access, owned by the tenant
- Deploys inside the customer's sovereignty regime, with data owned and controlled by the customer, and integrates with Microsoft Teams, PowerBI, and CoPilot