Now in private beta

Your AI app is
burning money
and you don't know it.

Nirixa gives AI teams full visibility into token costs, prompt stability, hallucination risk, and model performance — in real time. निरीक्षा. Observe everything.

Get Early Access See how it works
nirixa / dashboard / production
Total Token Cost
$4,218
↑ 34% vs last week
Cost / Feature
$0.003
↓ 12% optimized
Avg Latency
1.4s
p95: 3.1s
Drift Alerts
3
↑ 2 new today
Token spend by feature — last 7 days USD
Endpoint / Feature
Daily Cost
Avg Tokens
Halluc. Risk
/api/summarize
$1,240
3,800
HIGH
/api/search
$380
900
LOW
/api/chat
$820
2,100
MED
/api/classify
$120
420
LOW
Built for teams using
OpenAI
Anthropic
Gemini
Mistral
Groq
Together AI
The Problem

Every AI team is flying blind.

🔥
Token costs are invisible
You know your total OpenAI bill. You have no idea which feature, user, or prompt is responsible for 80% of it.
💀
Prompts silently degrade
A small change in context or model version shifts output quality. You find out when users complain — not before.
🎲
Hallucinations go undetected
There's no early warning system. No patterns flagged. By the time it's a product crisis, trust is already damaged.
📉
No feature-level P&L
Which of your AI features is actually profitable per user? Without cost-per-feature data, pricing decisions are guesswork.
What You Get

Datadog for your AI stack.

Token Cost Intelligence
Break down spend by feature, endpoint, user, model, and prompt version. Know exactly where every dollar goes.
$ per call tracked
Prompt Drift Detection
Get alerted when your prompts start producing statistically different outputs. Git-style version diffs for every prompt.
semantic diff engine
Hallucination Risk Scoring
Pattern-based risk scoring per request. Flag high-risk outputs before they reach users with configurable thresholds.
confidence scoring
Latency Monitoring
p50, p95, p99 latency per model and endpoint. Trace slow calls back to their root cause instantly.
real-time tracing
Model Performance Tracking
Compare output quality across model versions, temperatures, and prompts over time. Never regress unknowingly.
eval benchmarks
1-Line SDK Integration
Drop-in wrapper for OpenAI, Anthropic, and other providers. Zero config. Under 5 minutes to full visibility.
pip install nirixa
Pricing

Simple. Transparent. No surprises.

Starter
$49/mo
For small teams getting started.
  • Up to 1M tokens/month tracked
  • 3 projects
  • Cost & latency dashboard
  • 7-day data retention
  • Email alerts
Enterprise
$199/mo
For teams with serious scale.
  • Unlimited token tracking
  • Custom eval benchmarks
  • SSO & RBAC
  • 90-day data retention
  • Custom integrations
  • Dedicated support
Why Drishti

Others built tools.
We built the CFO dashboard.

Every existing tool solves one piece. None of them answer the question founders actually care about: "Where is my AI spend going, and is it worth it?"

Feature Helicone LangSmith Braintrust Dynatrace Nirixa ✦
Cost per feature/endpoint Partial
Prompt drift detection Partial Partial Partial
Hallucination risk scoring Partial
Latency monitoring Partial
Startup-friendly pricing Partial
5-min setup, no DevOps Partial
Profitability per feature
Helicone
Great gateway tool. Tracks requests and basic cost. But it's a model-layer tool — no feature-level breakdown, no prompt drift, no hallucination risk.
Free → $79/mo
LangSmith
Excellent if you're 100% on LangChain. Heavy framework lock-in. Per-seat pricing gets expensive fast. Not built for cost intelligence.
$39/user/mo
Braintrust
Evaluation-first, enterprise-focused. Steep learning curve. Not designed for startups who need fast answers about where their money is going.
Enterprise pricing
Dynatrace
Full enterprise observability beast. Overkill for AI startups. Requires a dedicated platform team. $100k+ contracts. Not for you.
$100k+/year

Stop guessing.
Start knowing.

Join the waitlist. Be first to get access when we launch.

47 teams already on the waitlist