Whatever AI your bank already runs — agents, models and GenAI — Solytics wraps your entire estate in one governance ecosystem: register, assess, validate, prove and monitor every asset under one roof.
Models, LLM apps, agents, vendor AI and EUCTs
Validation, monitoring, controls and evidence
Mapped to global AI and model-risk frameworks
A single vendor with independently validated proof-points across the AML / financial-crime value chain — and a governance-first DNA built into every solution.



























































For users, it is one Solytics AI Governance Ecosystem. Under the hood, governance, assurance, monitoring and evidence layers work together as one control plane.
Create a single inventory for models, GenAI applications, agents, vendor AI, business tools and EUCTs.
Assign owners, classify risk, map controls, orchestrate approvals and manage issues through configurable workflows.
Validate, test and monitor AI systems continuously across performance, drift, fairness, explainability, GenAI quality and runtime risk.
Generate audit-ready evidence, model documentation, AI system records, control attestations and executive/regulatory reports.
Nimbus Uno is the central execution & orchestration spine; Nimbus Vault is the inventory engine that governs and proves it — one closed loop from build to revalidation, with evidence and policy flowing continuously between them.
End-to-end model development, automated validation, continuous performance monitoring and drift detection.
Prompt versioning, evaluation pipelines for accuracy and hallucination, guardrails and token-cost optimization.
Multi-agent orchestration, tool-execution tracing, human-in-the-loop checkpoints and bounded-autonomy controls — powered by the built-in Agentic Builder.
Centralized model, AI and agent asset registry with risk tiering, ownership mapping and lifecycle status.
Configurable approval chains, attestation workflows and alignment with SR 26-02, EU AI Act, NIST and PRA.
Immutable audit trails, automated regulatory reporting, decision logs and end-to-end traceability.
An extension of Nimbus Uno focused on validating and continuously monitoring autonomous agents at runtime. Every agent action passes through a pre-built assurance pipeline that checks reasoning integrity, enforces policy and intervenes before harm — self-adaptive, not rule-bound.
The page should feel like a real operational platform, not just a compliance brochure. This draft uses product-style visuals to show the evidence layer.
Centralize every AI asset with business owner, intended use, risk tier, materiality and regulatory scope.
Translate AI and model-risk policies into control requirements, workflows, attestations and review gates.
Continuously test models, LLMs, RAG systems and agents for performance, drift, bias, quality and safety.
Produce documentation, audit trails, control evidence, exception records and board-ready governance views.
18+ global AI and model-risk frameworks are mapped to the Solytics ecosystem out of the box — each one tied to the products that operationalize it. No custom rules engineering, no manual mapping.
Risk classification, technical documentation, post-market monitoring and high-risk AI records.
Control mapping, AI management-system evidence, risk register and assurance workflows.
Model inventory, validation packages, effective challenge and ongoing monitoring evidence.
Lifecycle governance, independent review, issue tracking and audit-ready reporting.
Real numbers from live deployments across regulated banks, insurers and life-sciences institutions — not pilots, not POCs.
Configurable workflows, automated evidence and standardized templates collapse the assessment-validation-attestation cycle across models, GenAI apps and agents.
A pre-built runtime assurance layer replaces bespoke, one-off review cycles — new copilots, RAG advisors and agents go live in weeks, not quarters.
Models, non-models, EUCTs, GenAI applications, LLM systems and autonomous agents — one inventory, one audit trail.
Every action passed through the Assurance Quad in production — hallucinations, policy breaches and reasoning failures intercepted before harm.
Annual model re-validation moves from weeks to days, with regression and report assembly automated end to end.
Replayable reasoning traces, citation-linked narratives and framework-mapped evidence packs — defensible to risk, audit and regulators.
How regulated enterprises govern, validate and prove their AI across copilots, agents and GenAI applications using the Solytics ecosystem.
End-to-end copilot oversight across a tier-1 US bank — from prompt observability to hallucination detection to regulatory traceability.
Multi-agent pipeline at a European bank — daily adverse media triage across 50K+ articles, with bounded autonomy and full investigator traceability.
AI Security Risk Assessment for a Gemini-based RAG advisor at a US insurer — retrieval accuracy, prompt injection resistance, and production readiness in 12 weeks.
AI governance ground-zero at a US wealth management firm — every copilot, RAG application, and shadow LLM brought into a single risk-tiered inventory with framework-mapped controls in 14 weeks.
Agentic screening pipeline at a Southeast Asian commercial bank — real-time sanctions, PEP, and adverse media matching with 70% false-positive reduction and full MAS-aligned auditability.
Governed multi-agent pipeline at a GCC bank — automated alert investigation, narrative drafting, and sanctions cross-checks with full Central Bank-aligned auditability.
Multi-agent intake and triage of Individual Case Safety Reports at a top-10 pharma — bounded autonomy with mandatory medical reviewer sign-off.
RAG-based clinical narrative assurance at a European biotech — citation grounding, regulatory consistency, and audit-ready evidence for marketing authorization applications.