Pre-Seed Round Open • 2026

The Missing Infrastructure for Production AI Agents

96% of enterprises report higher-than-expected AI costs.Most have zero visibility into why.

$10B+
Market by 2034
31.8%
CAGR Growth
96%
Cost Overruns
THE COST CRISIS

AI agents are bleeding money.

These are real incidents from production deployments. No monitoring. No visibility. No control.

$7,500/mo

E-commerce AI Agent

Unoptimized prompts and unlimited conversation depth led to runaway token consumption.

800%

Multi-Agent Startup

Agent infinite loops triggered 1.4 million unnecessary database writes per hour.

$500→$8K

Enterprise LLM Spike

Input token length changes caused a 16x cost explosion in a single month.

Source: IDC study on enterprise AI cost overruns, industry incident reports

THE ROI GAP

Leadership can't answer:
"Is this agent worth it?"

Current tools focus on developer debugging. But enterprises need to evaluate AI agents like employees—with clear performance metrics, cost attribution, and ROI analysis.

  • No standardized metrics across AI projects
  • Intangible benefits impossible to quantify
  • No accountability—who owns which agent?
  • Can't attribute outcomes to specific agents
Typical Enterprise Situation
Customer Service AgentROI: ???
Research AssistantROI: ???
Data Processing AgentROI: ???
CFO asks: "We're spending $50K/month on AI. What are we getting back?"

One platform.
Two critical audiences.

Traccia bridges the gap between engineering operations and executive accountability.

For Engineering Teams

Prevent runaway costs and detect issues before they become incidents.

  • Real-time cost attribution by agent
  • Infinite loop & anomaly detection
  • Policy alerts for governance rules
  • Performance monitoring & traces

For Leadership

Evaluate ROI, ensure accountability, and govern AI investments.

  • Agent ROI dashboards
  • Team-based agent accountability
  • Performance benchmarking
  • Compliance audit trails
MARKET OPPORTUNITY

A $10 billion+ market by 2034

AI agent observability is one of the fastest-growing segments in enterprise software.

$510M
Market 2024
LLM Observability
$8B+
Market 2034
10-year projection
31.8%
CAGR
Annual growth rate
$71B
Enterprise LLM
Total addressable

Sources: Market.us, Research & Markets, Gartner, GM Insights

The gap in today's tooling

Existing solutions focus on developer debugging. None address the organizational layer: cost accountability, ROI measurement, and governance at scale.

Developer tools

Great for debugging, but no cost attribution or business metrics.

Generic observability

Built for infrastructure, not semantic understanding of agents.

Traccia

Agent-first observability with policy monitoring, cost attribution, and org-level accountability.

PLATFORM EVOLUTION

A phased path to platform scale

From production-ready observability to the industry's first agent reputation infrastructure.

Phase 1 — MVP
Q1 2026 • Shipping Now

Compliance Graphs

Building structured compliance graphs on existing trace architecture

  • Span hierarchy & model call tracking
  • Tool invocation visibility & metadata capture
  • Policy-based compliance tagging
  • Cross-agent propagation lineage

Economic Observability

Extending into a full economic observability layer

  • Token usage & model cost tracking
  • Cost-per-decision aggregation
  • ROI-per-agent reporting dashboards
  • Latency & invocation analytics

Governance-as-Code

Governance layer leveraging trace signals

  • Autonomous audit trails from traces
  • Real-time red flag detection
  • Code-based policy enforcement rules
  • Spend controls & alert triggers
Phase 2 — Evolution
2026–2027 • On Roadmap

Reputation Infrastructure

Deriving trust & reliability metrics from trace signals

  • Company & agent trust scores
  • Verifiable reliability metrics from failure rate, drift & violation patterns
  • Cross-organization benchmarking
  • Certification & standardized scoring framework

Advanced Platform Extensions

Deepening every layer built in Phase 1

  • Capital efficiency metrics & revenue attribution
  • Business KPI mapping to agent outcomes
  • Formalized compliance graph visualization
  • Autonomous intervention & active guardrails
Why Now

Agentic AI is Mainstream

OpenAI, Anthropic, and Google are all shipping agent frameworks. Enterprises are moving from chatbots to autonomous workflows.

CFOs Demand Visibility

Finance teams are requiring cost attribution for AI spend. No visibility = no budget for next year.

Regulation is Coming

EU AI Act requires audit trails for autonomous AI decisions. Governance is no longer optional.

Building the infrastructure layer for production AI

Where engineering teams prevent costs and leadership proves ROI.

PRE-SEED ROUND OPEN • LONG-TERM PLATFORM VISION