Autonomous self-improving agents for your most complex domains.
Source-grounded knowledge agents that improve their structure, knowledge, and capabilities every day — built for customer data architecture, agent governance, legal case work, and software operations.
A portfolio of self-improving agents — one architecture, many domains.
Each product is a domain-specialized expert agent built on the same architectural pattern: a source-grounded knowledge graph, a daily reflection loop, rubric guardrails, and a private firm-level memory layer. Different domains, same disciplined approach.
CDP Subject Matter Expert
Customer Data Platforms
Source-grounded technical reference for CDP architecture decisions. Vendor-neutral, continuously refreshed, with a 9-tier latency taxonomy and named alternatives for every vendor.
For: Sales engineers, solutions architects, MarTech leaders
Agentic Maturity Advisor
Enterprise AI Governance
Governance framework, maturity assessment, and partner-aware recommendations for organizations deploying AI agents at scale.
For: CISOs, security engineering, AI program leads
ClawWatch (GitHub Librarian)
Open-Source Operations
Triage, classification, and knowledge management for open-source maintainers. Reduces inbound fatigue with autonomous enrichment and contributor reputation.
For: Open-source maintainers, DevRel, platform engineering
Composable Expert
Your high-complexity domain
The autonomous self-improving design pattern applied to your specific subject matter. Continuously adapts to your team's vocabulary, precedents, and decision patterns — for domains where general knowledge isn't enough.
For: Organizations with deep domain expertise that needs to scale
Three dimensions of improvement, with discipline at every level.
A static knowledge base goes stale. A free-running agent drifts. Our agents improve themselves daily across three dimensions — and every change passes through a published rubric before it lands.
Part A — What Improves
Structural
Schema, ontology, new node and edge types
Authority
Human-reviewed PR — guarded for stability
Knowledge
Corpus content, refined claims, new sources
Authority
Auto-applies above confidence threshold
Capabilities
New routines, evaluation rubrics, conversational surfaces
Authority
Mixed — content surfaces auto, routine logic gated
Part B — How the Improvement Stays Safe
Source-grounded knowledge
Every claim cites a source with provenance — no hallucinated capabilities, ever.
Daily reflection loop
Scheduled routines sense, propose, score, apply, and defer changes — visible, not abstracted away.
Rubric guardrails
Hard checks block bad merges; soft scoring routes proposals to auto-apply or human review.
Firm-level memory
A private overlay scoped to your organization — your context, vocabulary, and constraints.
Provenance you can audit
Git-native audit trail. Every change is traceable, attributable, and reversible.
Built on the Hermes + OpenClaw architecture — proven across legal, customer data, GitHub operations, and enterprise governance.
Where Is Your Organization Exposed?
Different departments face wildly different risks. The EU AI Act is in force. NIST RMF is the U.S. standard. The question isn't whether agents are being used — it's whether you can prove they're governed.
Sales, Marketing & HR
“Do you know what customer data your sales team is feeding to third-party agents?”
High adoption velocity, low technical depth. Teams are already using tools with embedded agents, creating massive surface area for data leakage — and no one is watching.
Under the EU AI Act, automated HR decisions are classified as high-risk — requiring documented impact assessments and human-in-the-loop checkpoints before deployment.
Finance, Legal & ERP
“If an Agent updates a critical ERP record, who does the system think performed it?”
Zero risk appetite. If an agent drafts a contract or updates a financial record, there is no verifiable trail of why it made that decision or who authorized it.
The EU AI Act requires signed logs tying every output to source data, model version, and governing policy. NIST RMF demands full data lineage tracking for regulated industries.
Software Development & Engineering
“Are your AI agents bypassing the CI/CD quality gates your engineering team spent years building?”
Agents treated as ad-hoc experiments. While teams have provenance for standard code, they lack automated testing for hallucinations or prompt injections before production.
NIST RMF and ISO/IEC 42001 require adversarial red-teaming, bias detection pipelines, and audit-ready model cards before any AI system reaches production.
From Shadow AI to Sovereign Infrastructure
Most organizations deploy agents with the same rigor they use for a Slack bot. We help you build a system where security, identity, and observability are built in from day one — producing compliance artifacts as a natural byproduct, not a separate audit workstream.
Stop the Sprawl
Vetted templates, not shadow experiments
Your teams stop building agents from scratch on personal laptops. Every agent starts from approved, auditable templates — shadow AI eliminated before it begins.
Risk classification tags, control catalog
Know Who Did It
Every agent gets an identity
Each agent is assigned a persistent, unique identity before it touches production. When something happens, you know exactly which agent acted and who authorized it.
IAM controls, signed audit logs
Break It Before Production
Automated testing catches what humans miss
Prompt injections, jailbreaks, data leaks — tested automatically against each agent's specific risk profile. Nothing ships without sign-off.
Red-teaming mandate, DPIA/AI Impact Assessment
See Everything in Real Time
Full visibility into agent reasoning
Know which models, tools, and data each agent uses — and why. When an auditor asks how a decision was made, you have the answer in seconds.
Data lineage tracking, compliance matrix
Recover Automatically
Zero-day response without manual scramble
When a vulnerability surfaces in an underlying model or tool, affected agents are identified, rebuilt, tested, and replaced — automatically. No war rooms required.
Automated escalation playbooks, incident response
What Your Agent Infrastructure Should Look Like
You don't need to build this from scratch. We integrate best-of-breed solutions into a unified platform that grows with your needs — not against them.
Control Your Costs
Intelligent routing cuts spend without cutting quality
- •Simple tasks route to fast, cheap local models — frontier models only when needed
- •Sensitive data is filtered before it ever reaches an LLM
- •Real-time cost tracking per agent, per task, per team
Run Agents Safely
Every execution is isolated and disposable
- •Each agent runs in its own sandbox — destroyed after the task completes
- •No lingering access, no residual data, no cross-contamination
- •Multiple specialist agents can run in parallel without stepping on each other
Reuse Without Risk
Approved skills, not copy-pasted prompts
- •Teams share vetted, tested tools from a central library instead of reinventing them
- •Every skill is validated before publishing — no unreviewed code in production
- •Agents only see the tools they need, not everything in the catalog
Learn From Every Interaction
Continuous improvement, not just monitoring
- •Every agent interaction is logged: who ran it, what it did, what it cost
- •When two agents disagree, the system pauses for human review
- •New model versions are tested in shadow mode before they go live
Your Business Objectives, Our Framework
Every engagement starts from your goals. The Secure Agentic Factory maps directly to the five objectives enterprises care about most.
Manage the Sprawl
Eliminate shadow AI. Centralize agent ingestion through vetted templates and a governed supply chain.
Contain Costs
Intelligent model routing sends simple tasks to local LLMs and complex reasoning to frontier models — only pay for what you need.
Ensure Governance
Align with EU AI Act, NIST RMF, and ISO/IEC 42001. Produce control catalogs, risk registers, and compliance matrices as a byproduct of your agent infrastructure — not a separate audit workstream.
Manage Rollout
Systematically scale with CI/CD pipelines, automated testing, and staged deployment — not ad hoc experiments.
Ensure Provenance
Track the origin, versioning, and decision lineage of every agent artifact. Full agent lineage from assembly to retirement.
The Agentic Maturity Model
Four levels of maturity across five dimensions. Your governance needs depend on what types of agents you're deploying — from simple automations to autonomous system builders.
Ad Hoc
Individual experiments with no governance
Dev-Centric
Developer-managed with basic controls
IT Integrated
Centralized governance and observability
Sovereign
Governance-as-code with zero-trust
How We Work With You
From your first risk score to production-grade agent infrastructure — a structured path with no vendor lock-in.
Diagnose
Take the free 5-minute risk diagnostic. See your exposure across five dimensions and understand which gaps create the most business risk for your organization.
Design
We validate your self-assessment against reality with your team. No surprises — you get a clear remediation roadmap mapped to your actual priorities and existing tools.
Build
We integrate the right solutions into your existing stack — not rip-and-replace. Identity, governance, observability, and lifecycle management tailored to what you already have.
Operate
Continuous monitoring, automated vulnerability response, and ongoing maturity evolution. Your agent infrastructure gets stronger over time, not more brittle.
How We Solve It
Best-of-breed solutions mapped to the challenges that keep your team up at night — not architectural categories.
Prevent Data Leakage
Stop shadow AI and uncontrolled data exposure
Aibound
Existing Solution Inventory
Leverage your existing governance and security assets to expose information already available but hiding in plain sight. Inventory from existing solutions to build a baseline.
Zenity
SaaS AI Governance
Governance platform for SaaS-based AI and agentic applications. Monitors and controls AI usage across enterprise SaaS tools with policy enforcement.
Enforce Agent Accountability
Non-Human Identity management and governance
Okta
Enterprise Identity Provider
Enterprise identity and access management. Extends to Non-Human Identity management for AI agents with centralized authentication and authorization.
Cyata (Check Point)
Control Plane for Identity
Solves the delegated authority crisis by managing Non-Human Identities (NHI) for AI agents. Ensures every agent action is attributable and lifecycle-managed.
SailPoint
Identity Governance
Identity governance and administration platform. Manages the lifecycle of identities — including Non-Human Identities — with automated provisioning and compliance.
Redblock
SPA/Mobile Identity
Identity security for single-page applications and mobile agents. Protects agent-to-user interactions with runtime identity verification.
Trace Agent Reasoning
Chain-of-Thought tracing and semantic monitoring
Langfuse
LLM Observability Engine
LLM observability platform providing Chain-of-Thought tracing, cost tracking, and semantic monitoring. Makes agent reasoning transparent and auditable.
Arize
AI Observability & Monitoring
AI observability platform for monitoring model performance, detecting drift, and tracing agent behavior in production. Provides real-time analytics and alerting.
Secure the Agent Lifecycle
Testing, provenance, and security posture validation
Vijil
Lifecycle Management
Manages the agent lifecycle from development through retirement. Provides automated testing, deployment validation, and provenance tracking for agentic systems.
OpSin
Security Readout & Reality Check
Deep-dive security posture readout that compares measured vulnerability against stated security posture. The 3-Day Reality Check bridges the gap between management expectations and engineering reality.
Control Agent Operations
Policy enforcement, routing, and runtime security
Airia
Control Plane
Centralized command center for agentic AI governance. Provides unified policy management, agent orchestration, and compliance enforcement across the organization.
Xeris.ai
Agentic AI Security
Security platform for agentic AI workloads. Provides runtime protection, policy enforcement, and threat detection for autonomous agent operations.
12port
API Security & Access Control
Secures agent-to-resource communication with identity-aware API gateway controls. Provides micro-segmentation and dynamic access policies for agent environments.
Frequently Asked Questions
Common questions from security leaders, CISOs, and engineering teams evaluating their agentic AI risk