One plane to control your engineering systems and autonomous agents.
Identify exactly what's hurting your customers and trace it back to why. Whether the root cause is a failing microservice, an agent hallucination, or a catastrophic collision between the two—Causience is the only platform that maps the entire causal graph.
Three ways your org fails. Zero tools that see all of them.
Built for a world in transition—where engineering systems and autonomous agents work side-by-side, failures cross boundaries, and the cost of not knowing is measured in revenue.
System Failures
Observability tells you what broke, but not why. SREs spend hours guessing the root cause of complex engineering cascades.
Agent Failures
Your autonomous agents hallucinate, misroute, loop, and overspend — silently. As Cleanlab notes, reliability remains the absolute weakest link in the stack.
Cross-Domain Failures
An agent decision degrades a system which tanks a metric. Three teams. Three observability tools. Nobody sees the full causal chain.
The cost of not knowing: Revenue drops. Cart conversions dip. Support queues spike. Nobody can trace the business impact back to its exact technical origin.
Three pillars of reasoning. Connected in one plane.
One plane to control and orchestrate both the engineering and agentic world. Made for human-first enterprises, agentic swarms—and everything in between.
Reasoning for your engineering systems.
Observability platforms collect the raw signals. Our causal engine connects them, instantly isolating the exact path of failure across your engineering infrastructure.
Causal Root Cause
No more 3 AM wild goose chases. Causience extracts the exact configuration drop or degraded service that triggered the cascade.
PR Blast Radius
Score the upstream and downstream causal impact of every single pull request before you let it merge to production.
Autonomous Remediation
Safely execute auto-remediation scripts for known failure paths explicitly mapped out by past resolved graphs.
Predictive Failure
Detect volatile causal conditions forming in the architecture before they exceed thresholds and trigger PagerDuty.
Governance for your agents.
As your org deploys autonomous agents, drift becomes catastrophic. We provide the control plane to safely scale autonomous workflows.
Pre-Deploy Eval Gates
Test agents causally. Know if a minor prompt change breaks a downstream router before it ever reaches the user.
Behavioral Drift Detection
Detect exactly when agents silently enter recursive loops, degenerate prompt outputs, or hallucinate edge cases.
Model Routing & Failover
Intelligently route tasks dynamically based on cost, latency, and accuracy constraints. Automatic failovers built in.
Cost & ROI Tracking
Every single token spent is attributed per agent, per workflow. Real ROI is automatically calculated against business inputs.
Where systems and agents collide.
The deadliest failures happen when an agent breaks a system, or a system drops an agent. We map the intersection.
Full Execution Auditing
Trace a specific rogue agent's REST decision directly hitting a K8s pod that drops a Stripe checkout metric.
Universal Policy-as-Code
Enforce global safety rules and IAM constraints across your microservices and your autonomous agents simultaneously.
Business Impact Origin
Never guess why revenue dropped last hour. Trace the business impact directly back to a specific backend transaction instantly.
Living Enterprise Topology
One constantly living, unified graph of your entire technical reality across teams, stacks, and providers, updated in real time.
The only platform built for wherever you are — and wherever you're going.
Whether your organisation is anchored by core engineering infrastructure, navigating the hybrid middle, or deploying massive agentic swarms—Causience is the definitive control plane. We govern engineering systems, autonomous agents, and the catastrophic collisions between them.
| CAUSIENCE | RESOLVE | LANGSMITH | DATADOG | DYNATRACE | |
|---|---|---|---|---|---|
| System causation | ✓ | ✓ | ✗ | ~ | ~ |
| Agent causation | ✓ | ✗ | ~ | ✗ | ✗ |
| Cross-domain RCA | ✓ | ✗ | ✗ | ✗ | ✗ |
| Agent control plane | ✓ | ✗ | ~ | ✗ | ✗ |
| Policy as code | ✓ | ✗ | ✗ | ✗ | ✗ |
| BYOC | ✓ | ✗ | ✗ | ✗ | ~ |
~ = partial or claimed, not architecturally native
Every competitor owns one row. Causience owns every column.
How Causience works
Data flows from your discrete systems and agents into the core Causal Engine, where structural topology and behavioral anomalies are continuously Bayesian reconciled.
Autonomous Agents
LLMs, Copilots, Workflows
Engineering Systems
CI/CD, Git, Infra
Business Tools
Revenue, Costs, SLAs
Customer Signals
Support, NPS, Churn
Organisational Context
Human + Agentic Behavior
Causal Reasoning Engine
Structural + Behavioral · Bayesian Reconciliation
Drift Detection
Real-time agent & config drift monitoring
Proactive Prevention
CI/CD gates & policy enforcement
Reactive Cause Analysis
Engineering, autonomous, and business failures — traced to origin
Your data. Your cloud. Your rules.
Built from the ground up for fintechs and regulated enterprises that cannot compromise on data sovereignty or auditability.
100% BYOC
Deploy entirely within your AWS, GCP, or Azure account. Causience never touches your infrastructure — we bring the intelligence, you keep the data.
Zero Exfiltration
Your data — actual and metadata — never leaves your VPC. No phone-home telemetry. No shadow data collection. Verifiable at the network layer.
Policy as Code
Every organisational rule defined as code. Write in plain English — Causience generates the YAML. Applied uniformly across engineering and agents.
Human-in-the-Loop
Every autonomous action gated by your policies. Read-only by default. Remediation only when you explicitly allow it. Full audit trail of every decision.
See Causience reason over your last three incidents.
This isn't a demo. It's a diagnosis.