v0.1 · Private Beta · API-first

The Decision Engine
for AI Agents

Decima gives your AI agents structured reasoning —
evaluate options, decompose problems, and return
decisions with machine-readable justification.

Choose Your PlanSee how it works →

What Decima does

01

Evaluate Options

Compare alternatives with weighted criteria. Decima scores each option and returns a ranked decision matrix your agent can act on.

decima.evaluate()
02

Decompose Problems

Break complex decisions into structured sub-trees. Hierarchical reasoning that mirrors how expert humans approach hard, multi-step problems.

decima.decompose()
03

Structured Decisions with Justification

Return machine-readable decisions with full reasoning chains. Every conclusion is traceable, auditable, and explainable.

decima.decide()

Simple API

Three lines. A structured decision.

example.py
import decima

decision = decima.decide(
    question="Which cloud provider should we use?",
    options=["AWS", "GCP", "Azure"],
    criteria=["cost", "latency", "reliability"]
)

# decision.choice        → "GCP"
# decision.justification → "Lowest latency for EU workloads..."
RESPONSE
200 OK
{
  "choice":        "GCP",
  "confidence":    0.87,
  "justification": "Lowest latency for EU workloads (34ms avg)...",
  "scores":        { "GCP": 0.87, "AWS": 0.72, "Azure": 0.61 }
}

Private Beta · Limited Seats

Ready to give your agents
better judgment?

Join the private beta. Start making structured decisions in minutes — full JSON API, no dependencies.

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