IamVERA.ai - 2026 Pricing, Features, Reviews & Alternatives

IamVERA.ai is a cloud-based, browser-accessed multi-model AI verification layer for professionals who require inspectable AI outputs and privacy-preserving document workflows. It is not a standalone chatbot or language model. Instead, it coordinates independently assigned AI models across distinct roles: initial answer generation, factual audit, adversarial challenge of reasoning and assumptions, live public source verification, and final synthesis. Every correction, disagreement, and source behind the final answer remains visible in an inspectable verification trail, replacing hidden confidence scores with a transparent, step-by-step audit record. The platform is built and operated in the European Union and targets professionals in legal (law firms, legal advisers, notaries), healthcare and occupational health, compliance and governance, journalism and investigative research, and security-sensitive organisations.

For document workflows, IamVERA.ai includes a Semantic Privacy Shield that locally detects and pseudonymises sensitive values, including names, dates, case numbers, diagnoses, and references to minors, before any document context is transmitted to external AI providers. Original values are restored locally after model processing, and roles and relationships within the document are preserved so models retain full analytical context. Vera X-Ray performs on-device sensitive-value detection across PDFs, scanned pages, and plain text before anything leaves the user's device. Vera Office provides a browser-based DOCX workspace for collaborative document analysis and controlled editing; all document context passes through the Privacy Shield before any external model call, and write requests are converted into a validated action plan before changes are applied. If the privacy verification check does not pass, no document context is transmitted.

Each session is configurable: users select models, set review depth, and inspect token usage and per-step costs. Auditable run data, covering privacy verification status, shielded entity count, selected models, token and cost trace, and document version snapshots, is recorded per run and exportable as a PDF compliance report on the Compliance plan. API access is also available on the Compliance plan. Behavioural evidence including factual trap tests, source-grounding tests, prompt-injection cases, documented failures, and raw JSON data is published publicly at iamvera.ai/evidence.