Building the Ground Truth & Verification Layer for AI
Acuityio is an AI safety and verification company dedicated to solving the fundamental epistemic challenges of generative models. We build the adversarial multi-model infrastructure that enables autonomous AI to be safely trusted with mission-critical decisions.
Why Single-Model AI Cannot Self-Check
Large language models are probabilistic token predictors, not knowledge repositories. When an LLM hallucinates, it does so with the exact same fluent linguistic certainty as when it speaks the truth.
In our benchmark evaluations across 1,000 real-world factual claims, frontier models failed to reach consensus in 63% of cases while self-rating their confidence as 9/10 or 10/10 over 76% of the time. Single-model verification introduces arbitrary variance. Truth requires structured adversarial opposition.
Our 3 Core Principles
Truth is reached through structured opposition. We pit frontier models against each other in debate before triangulating through independent auditor panels.
No model verdict is accepted without verbatim citations to authoritative primary sources: court decisions, statutes, medical databases, and peer-reviewed journals.
Every claim verification generates an immutable audit record, and customer data is strictly never used to train external models.
Powered by High-Scale AWS Cloud Infrastructure
AWS Bedrock & Multi-Model Layer
Orchestrates concurrent inference across leading foundation models (Anthropic Claude 3.5, Meta Llama 3.1 405B, Mistral Large) via AWS Bedrock with private VPC endpoints.
Amazon ECS & Fargate Serverless Compute
High-throughput asynchronous execution queue scaling to millions of daily claims across autoscaling container clusters with sub-second task provisioning.
Amazon OpenSearch Vector Database
Hybrid semantic search combining BM25 keyword matching with dense 1536-dimensional embeddings across indexed statutory, judicial, and peer-reviewed archives.
AWS KMS & Encrypted S3 Audit Vault
Immutable citation trails and verification certificates encrypted at rest with customer-managed keys (SSE-KMS AES-256) and write-once-read-many (WORM) audit locks.