Opnova
AI agents that learn from video demos to perform identity and access operations in legacy and modern apps without APIs or connectors.
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Opnova provides AI-driven identity governance and IT operations for enterprise applications that traditional IGA platforms cannot reach. Its agents learn a task from a recorded video demonstration and then operate the application through the screen, like a human operator, including legacy terminal systems such as IBM AS/400.
The company describes a patented ‘Reflexive Memory’ architecture that stores known screen structures so repeat actions run deterministically without calling an AI model, falling back to the model only for unexpected states. It can deploy as single-tenant SaaS, in the customer’s VPC, or on-premises, and targets regulated banks facing SOX, DORA, OCC and PCI DSS obligations.
Innovation Matrix Assessment
Computer-use agents with a deterministic replay layer is a novel approach to connector-less access operations.
Closes the 'disconnected app' gap in IGA for SOX-scoped legacy systems, directly reducing manual provisioning work.
$5M pre-seed, ~20 staff; Live Oak Bank named as a customer; about 80% of customers reportedly regulated US banks.
Replaces API/connector integration requirements with video-learned agents, a structurally different path to governing unreachable apps.
Won Black Hat USA 2026 Startup Spotlight and the Global Spotlight (Black Hat press release); only one named customer and savings figures are company-stated.
Disconnected legacy apps and agentic operations will persist, and regulatory pressure on access evidence is rising.
Why CISOs Should Care
Brings access reviews and provisioning for legacy, non-API systems into the same governance workflow as modern apps, which is typically where audit gaps live.
What Makes It Different
Instead of building connectors, agents are trained from a screen recording and run deterministically from stored screen memory.
The Matrix Verdict
62/100 — INCREMENTAL INNOVATOR
Opnova is an Incremental Innovator at the upper end of its tier: a genuinely different technique for a real IGA gap, supported by a Black Hat competition win and a named bank customer, though market traction is still small.
Editorial Note: Claims vs. Verified Findings
The 85% compute-reduction and 11,500-hours-saved figures are company/press-reported. Independently confirmed: Black Hat Startup Spotlight wins. HQ reported as US with R&D in Porto, Portugal.
Sources
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