Why we’re building multi-model AI
We started with a simple question: if AI models each have different strengths and blind spots, why do we force ourselves to rely on just one?
Our Mission
We’re building the infrastructure for multi-model intelligence — where every query benefits from the collective capabilities of the world’s leading AI systems, plus any custom or fine-tuned models you bring. Available in our app and over a REST API. Fewer blind spots, better outcomes than any single model alone.
Our Vision
The future of AI is collaborative
The AI landscape is converging on a reality: no single model will be the best at everything. Users who rely on a single model accept its limitations as their own — often without knowing what those limitations are.
“We’re not building another AI model. We’re building the layer that makes all AI models work better together — surfacing insights any single model would miss.”
Roadmap
Where we’re headed
From verification platform to comprehensive multi-model intelligence infrastructure.
- Foundation
Multi-Model Platform Launch
Core orchestration across leading AI providers with three intelligence modes. Real-time streaming, comprehensive authentication, and PWA functionality.
30+ Models3 Intelligence ModesReal-time StreamingPWA Support - Shipped
Developer API
Public REST API for embedding multi-model intelligence in your own products. Same three modes — Unify, Justify, Verify — with structured per-model attribution and streaming responses.
REST APIStreamingAPI KeysPer-Model Attribution - Shipped
Bring Your Own Model
Add your own custom models alongside the four built-in providers. Use any OpenAI-compatible endpoint — Together, Fireworks, Groq, OpenRouter, Ollama — with your own API key.
Custom EndpointsPer-User EncryptionTest-Before-SaveCost Attribution - Shipped
Cloud Provider BYOMs
Native AWS Bedrock and GCP Vertex AI integration — bring models running in your own cloud account, including fine-tuned models and Model Garden imports. Inference runs on your own IAM credentials or service account.
AWS BedrockGCP Vertex AIFine-Tuned ModelsModel Garden - Current Phase
Beta Expansion & Professional Polish
Scaling to 500+ beta users across professional segments. Refining the experience based on real usage patterns and feedback from professionals who can't afford blind spots.
Beta TestingProfessional PolishAnalytics & FeedbackProjects Feature - Next Phase
Multi-Model Agents
MCP and A2A integration enabling multi-model agents that know what they don't know. Agreement becomes a confidence signal for autonomous action; disagreement triggers verification.
MCP SupportA2A ProtocolAgent WorkflowsConfidence Signals - Long-term
Enterprise Intelligence Infrastructure
Organization-wide multi-model intelligence for enterprises where decisions have consequences. Auditable outputs for regulated industries.
Enterprise PlansAudit TrailsComplianceCustom Deployment
Our Principles
What guides us
Better Outcomes Over Speed
Multiple perspectives produce better results. We optimize for completeness and accuracy while keeping the experience fast.
Transparency by Default
Users see individual model responses alongside the synthesis. When models disagree, users see the disagreement. This builds appropriate confidence.
Model Agnostic
We're not building an AI model; we're building the layer that makes all AI models work better together. Use ours, plug in your own — including fine-tuned models on your own cloud account. No vendor lock-in.
Professional-Grade
Built for people whose work has consequences. Designed for the standards of professionals who can't afford blind spots or hallucinations.
Build multi-model verification with us
We’re selecting design partners who’ll shape TruVerifAI for their industry. Free access, direct input on the roadmap, and early access to every new feature.
5 spots available · Free access · Direct roadmap input