See exactly what your AI pipeline costs, before it costs you.

Simulate LLM chains, RAG architectures, and multi-agent workflows. Know your token spend, latency distributions, and configuration tradeoffs — before a single line ships.

Trusted by infrastructure teams at

Y Combinator logo
Y Combinator
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Vercel logo
Vercel
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AWS logo
AWS
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Anthropic logo
Anthropic
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Y Combinator logo
Y Combinator
//
Vercel logo
Vercel
//
AWS logo
AWS
//
Anthropic logo
Anthropic
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Capabilities

Simulate the complete behavior of your AI pipeline.

Five core engines designed for precision. Gain complete visibility into cost, latency, and structural behavior — before shipping to production.

F1

Visual Pipeline Canvas

A drag-and-drop builder strictly mapped to 9 deterministic AI node primitives. Design RAG, multi-agent workflows, and LLM chains without production access.

  • 019 strict node primitives (Routers, Re-rankers, Tool Calls)
  • 02Import from LangChain, LlamaIndex, or YAML
  • 03Version and fork pipeline architectures
F2

Cost Simulation

Project true spend using mathematically precise calculations. Real-time pricing is updated daily via our Benchmark Engine scrapers.

  • 01Breakdown by stage and request volume
  • 02Simulate cache hit rates and retry policies
  • 03Support for OpenAI, Anthropic, Cohere, Mistral and more
F3

Latency Profiling

Identify bottlenecks before users do. Models per-stage latency using Monte Carlo simulations and empirical benchmark distributions.

  • 01P95/P99 latency projections with Confidence Intervals
  • 02Waterfall diagrams for stage contribution
  • 03Parallel vs. sequential path modeling
F4

Configuration Intelligence

Receive domain-aware guidance backed by research and benchmarks. We quantify the exact cost and latency tradeoffs of your parameter choices.

  • 01Optimal vs. Suboptimal configuration assessments
  • 02Research-backed citations for configuration changes
  • 03Cost/Latency tradeoff quantification
F5

Scenario Comparison

Run up to 5 pipeline variants side-by-side to find the optimal balance of speed, cost, and structural efficiency.

  • 01Visual configuration diffing
  • 02Scalability stress tests (10x - 100x traffic)
  • 03Exportable PDF Intelligence Reports

The problem

The four invisible walls every AI team hits.

Every engineering team building AI products faces the same blind spots. No one sees them until the damage is done.

01

$18K/mo

Avg unexpected AI spend at Series B

Token Cost Blindness

Teams discover true token costs when the OpenAI invoice arrives. A single prompt template change can 10x costs invisibly.

02

14s P95

Discovered in production, not before

Latency Ignorance

RAG pipelines have 5–8 distinct latency stages. Teams rarely know which stage is the bottleneck until users complain.

03

22%

Quality drop noticed 3 weeks later

Configuration Tradeoff Blindness

Chunk size, embedding model, and retrieval k all affect system behavior. These tradeoffs are explored by accident, not by design.

04

100%

Of AI teams have had a cost or latency incident

No Pre-Production Validation

There is no staging environment for AI pipeline behavior. Teams ship pipelines and learn from production failures.

"We reduced OpenAI spend by 67% after discovering that 40% of our chain calls were redundant — found during a post-incident retrospective, not pre-deployment."

— AI Infrastructure Engineer, Series B startup

"A fintech company switched embedding models for cost reasons. Retrieval quality dropped 22%. This was only caught three weeks later by a customer complaint."

— ML Platform Lead, Enterprise tech company

Social proof

What engineers are saying

We reduced OpenAI spend by 67% after discovering 40% of our chain calls were redundant. PRISM found it in 3 minutes.

Alex K.

Staff AI Engineer

Series B Startup

P95 was 14 seconds. PRISM found the re-ranker was the bottleneck before we even shipped. Would have been a production fire.

Priya M.

Head of ML Platform

Enterprise Tech

I used the free tier to simulate 3 traffic scenarios and exported a report for my co-founder. Setup took 8 minutes.

Marcus L.

Founding Engineer

AI Writing Assistant

Pricing

Simple pricing for every stage.

Free tier is generous enough to deliver real value. Pro unlocks team necessity. No feature gating on core simulation.

Free

$0

Forever free

  • Sim runs50/month
  • Pipelines3
  • Variants2
  • CI/CD
  • ExportLink only
  • SSO/SAML
  • EU residency
  • SupportCommunity

Pro

$49

/user/month

  • Sim runs2,000/user/month
  • PipelinesUnlimited
  • Variants5
  • CI/CDYes
  • ExportPDF + Link
  • SSO/SAML
  • EU residency
  • SupportEmail (48h)

Team

$249

/month · up to 8 seats

  • Sim runsUnlimited
  • PipelinesUnlimited + shared
  • Variants10
  • CI/CDYes
  • ExportPDF + Link + API
  • SSO/SAMLYes
  • EU residencyYes
  • SupportSlack + Email (4h)
Start freeTalk to sales

Enterprise plans available with custom SLAs and dedicated support.