ROI Calculator · v1.0.1

What does giving your agents memory actually save?

Plug in your numbers. The reduction math comes from our v1.0.1 DeepEval suite. Everything else is your business reality.

Production agents in your stack

23 agents

Conversations per agent per day

840/day

log scale · 10 → 10,000

Cost per hallucination incident

Saved per month $0

ROI 0×

Annual savings: $0 Suggested plan: Pro

12 months · cumulative savings vs cumulative Wisdom Layer cost

Advanced inputs

Model Current hallucination rate errors per 100 responses · industry studies range 5–20%

8%

Cost per LLM call (USD)

How this is calculated

Two evidence-backed multipliers do the heavy lifting. Both come from our published evals; the rest of the math is just arithmetic on your inputs.

Hallucination reduction: 62% — v1.0.1 Faithfulness (0.346 → 0.916, n=5). See the run →
Model-downgrade savings: 67% — Haiku+Wisdom matched Sonnet vanilla on grounded recall (N=3) at ~⅓ the per-call cost. See the run →

Total monthly conversations = agents × conv/day × 30
Hallucinations avoided = total × current rate × 0.62
Hallucination $ saved = hallucinations avoided × cost per incident
Model-downgrade $ saved = total × cost per call × 0.67 (frontier models only)
Annual savings = (hallucination $ + model-downgrade $ − tier cost) × 12

Tier suggestion: ≤1 agent → Pro · ≤15 → Team · 16+ → Enterprise. Heuristic only — talk to us about your real footprint.

Ready to make these numbers real?