Pokant

Replace your LLM calls with our API. We evaluate models on your real traffic, and optimized routes to save money

routing dashboard
agent-prod-1
P95: 285ms
Live
4.2

Quality Score

285ms

P95 Latency

$0.12

Cost / 1K Calls

12

Models Tested

Recent Evaluations

qwen2.5-7b-instruct
ReasoningScore: 4.6
5m ago
mistral-7b-instruct
Code GenScore: 4.4
12m ago
llama-3.1-8b
SummarizationScore: 4.2
2m ago
gpt-4o-mini
Code GenScore: 4.5
15m ago
claude-haiku
AnalysisScore: ---
Just now
gemini-flash
Q&AScore: 4.1
1h ago

Model Distribution

12models
OSS Models60%
GPT-425%
Claude15%

Bandwidth Usage

Images45%
Scripts30%
API25%

Live Analytics

Active Users
+12%
2,847
Page Views
+8%
48.2K
Requests/min
+5%
1,204
Edge Regions
42
Cache Hit Rate
94.7%
Scroll to explore

65%

reduction in LLM spend

4.2+

avg quality score maintained

P95 <400ms

latency with mixed models

12+

models auto-tested per agent

Built for AI Agents in Production

A platform designed for real-world AI workloads

Stop manually testing models and writing routing logic. We auto-optimize your entire LLM stack based on your actual usage.

Automatic model eval on your prompts

No more manual bake-offs or reading leaderboards. We test models on your actual workload.

Routing graphs per agent

Each agent gets a custom routing network instead of a single hard-coded model choice.

Compliance-aware policies

Control where sensitive data goes with policies like no external APIs for PHI.

Cost & latency visibility

See which models handle which tasks, how traffic is distributed, and what it costs.

Open-source first routing

Save on inference costs by routing to OSS models first, with safe escalation to GPT-4/Claude.

Continuous learning from production

The routing improves as agents see more traffic. No constant manual retuning required.

Real-time observability

Dashboard shows model performance, routing decisions, and cost breakdowns in real-time.

Per-task optimization

Different tasks get different models optimized for their specific cost, latency, and quality needs.

Automatic model eval on your prompts

No more manual bake-offs or reading leaderboards. We test models on your actual workload.

Routing graphs per agent

Each agent gets a custom routing network instead of a single hard-coded model choice.

Compliance-aware policies

Control where sensitive data goes with policies like no external APIs for PHI.

Cost & latency visibility

See which models handle which tasks, how traffic is distributed, and what it costs.

Open-source first routing

Save on inference costs by routing to OSS models first, with safe escalation to GPT-4/Claude.

Continuous learning from production

The routing improves as agents see more traffic. No constant manual retuning required.

Real-time observability

Dashboard shows model performance, routing decisions, and cost breakdowns in real-time.

Per-task optimization

Different tasks get different models optimized for their specific cost, latency, and quality needs.

Built for AI Product Teams

Less time on model eval, more time on product

Teams stop running ad-hoc eval scripts and maintaining routing glue code. Just plug in our API and let us optimize your LLM stack automatically.

  • No manual model evaluation or bake-offs
  • Automatic routing optimized for your workload
  • Full observability of cost, latency, and quality
  • Less time on infra, more time on product
Terminal

Ready to ship smarter agents?

Join AI teams using automatic model evaluation and optimized routing. Start with our free tier today.