ActaClad engineers production-grade AI for the enterprises who refuse to ship what they cannot trust. Through AgentGuard — our agent-native trust platform — and our specialist engineering services.
Enterprises ship AI that demos beautifully and breaks invisibly. The tools were built for an LLM-call era — not the agent era. Observability, security, and governance live in disconnected silos. The board asks for proof. Engineering shows dashboards. Auditors leave unconvinced.
Agents plan, call tools, hand off to other agents, revise. Today's observability stops at the LLM call. You see the symptom, never the cause.
Boards demand evidence. Regulators demand proof. Engineering teams produce dashboards. None of these speak the same language.
Stitching together five tools — observability, evals, red-team, guardrails, governance — costs more than the AI itself. And still doesn't add up.
Agent-native observability built for plans, tool calls, agent-to-agent handoffs, memory state, and replanning loops. Not LLM-call observability with agent features bolted on.
Comprehensive evaluation framework supporting LLM-level evals (hallucination, accuracy, output quality) and agent-level evals (task completion, plan quality, tool-use correctness). Automated and human-in-the-loop.
Static analysis of AI code, dynamic red-team probing across the failure modes that matter, and runtime guardrails — both default policies and custom-authored. Find them in staging, not in production.
Policy frameworks, audit-grade evidence generation, and regulatory mappings to NIST AI RMF, EU AI Act, ISO 42001, and sector-specific frameworks. The Trust Profile your CISO, board, and auditor all understand.
AgentGuard works with your existing stack — LangGraph, CrewAI, raw SDKs, custom orchestration. Production-grade from day one. Audit-ready by design.
"The trust layer for production agents."
AgentGuard unifies observability, evaluation, red-teaming, guardrails, and governance evidence into one agent-native platform. Drop it into your existing stack. Ship agents your CISO will sign off on.
Plumbline is an open-source static analyzer for LLM and agentic code. It finds the reliability and architecture defects that make agents fall over in production — deterministically, with no network calls and no telemetry. AgentGuard guards production; Plumbline guards the code before it gets there.
"A plumb line tells a builder whether a structure is true. Plumbline tells you whether your agent code is built to survive production."
A reliability and architecture analyzer — not a style linter. It uses taint and dataflow analysis to reason about real properties of your code: unbounded agent loops, missing fallbacks, unsafe tool calls, silent model swaps. Same code, same findings, every run.
"Most AI projects fail not because the model is bad, but because no one engineered the system around it. We engineer the system."
"Build AI that survives real users."
From prototype to production: architecture, reliability engineering, evaluation, and deployment pipelines — so your AI works on day 90 the way it did in the demo.
"AI on top of decades of infrastructure investment."
AI connected to your ERP, CRM, databases, and APIs — no rip and replace. Integration architecture, governance, and phased rollout under real audit and compliance pressure.
"A battle-tested AI team in weeks, not 6 months of hiring."
A senior AI engineering team — Product Owner, Tech Lead, Engineers, QA — embedded in your org. Sprint-based delivery, weekly demos, knowledge transfer built in. Flexible sizing (2–8 engineers).
"Find them in staging, not in production."
Adversarial testing for production AI: prompt injection, jailbreak, PII leakage, tool misuse, multi-agent collusion. Plus runtime guardrail design and continuous re-scoring across releases.
Services are how we learn — being on the ground with customers shows us what production AI actually breaks on. Product is how we deliver that learning at scale. Every services engagement includes AgentGuard implementation, and every product feature is informed by what we saw on a real customer's hardest week.
Stitching together a half-dozen point tools is what every enterprise tries first. We built the unified platform because the integration is where trust actually lives.
Observability, evals, red-team, guardrails, governance — five contracts, five integrations, five upgrade cycles.
Trace data lives in one tool, eval results in another, red-team findings in a third. Nothing flows together.
Built for the LLM-call era. Agent observability is bolted on. Plans, handoffs, and memory aren't first-class citizens.
Every tool produces dashboards for engineers. Auditors and risk committees get nothing they can sign off on.
Unified observability, evaluation, security, and governance. One vendor, one data model, one integration.
Trace data feeds eval scoring. Eval scoring feeds governance evidence. Red-team findings update the Trust Profile in real time.
Built around plans, tool calls, agent-to-agent handoffs, and memory state from day one. Not LLM-calls with agent paint.
The Trust Profile — one page, nine dimensions, signed and time-stamped. CISOs, boards, auditors all understand it in 30 seconds.
Tell us what you're building, your production constraints, and where trust shows up in your stack. We respond within one business day.
For product demos, engagements, red-team work, partnerships, and press.
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