Krista AI

See what tokenmaxxing is costing you

Answer a few questions about how your team uses LLMs today, then adjust the sliders to see how routing routine work based on the appropriate model saves money.

Limited Time — Save 30%

Slash your team's AI spend by up to 80% this summer

Answer a few questions about how your team uses LLMs today, then see your estimated savings with our managed routing.

$49 $99

1Tell us how you use LLMs today

How are people at your company using LLMs today?
What share of your LLM work is routine vs. complex reasoning?
Do prompts ever touch sensitive or regulated data (PII, HIPAA, financials, confidential company info)?
Roughly how many employees are prompting LLMs regularly?
Roughly what does your organization spend monthly on frontier model tokens today?

2Estimate your usage

Monthly LLM token volume50M tokens
Rough org-wide monthly usage across all LLM-powered work. Not sure? 1M tokens ≈ 750,000 words, roughly 2,000–4,000 typical prompts.
% of routine work and queries80%
Defaults to the split from your answers above. Krista's benchmark testing found roughly 80% of enterprise workloads — routine data processing, agentic automation, standard Q&A — run at near-parity quality on the Krista LLM. The rest routes to a frontier model automatically.
Input : output token ratio6:1
Real usage is mostly input tokens, which are far cheaper than output. Defaults to 6:1 — the mix across Krista's own production traffic (about 1,310 input to 217 output tokens per request). Slide toward 1:1 if your work generates long responses.

Your results

Answer the questions to see your fit

Your fit assessment and savings estimate will update as you go.

Compare against
Krista's own model runs at $0.17 per million tokens, blended at your input/output mix and contained inside your private instance — versus $7.84 per million tokens for Opus 4.8. That's roughly 46× cheaper on the routine work that makes up most enterprise LLM volume.
All on frontier
$750
With Krista routing
$153
80%
estimated monthly cost reduction
$597
Monthly savings
$7,164
Annual savings
Claim My Summer Rate

Estimates only. Krista LLM is priced at $0.15 per million input tokens and $0.30 per million output tokens, contained inside your private instance. Comparison-model prices are per-million input and output list rates, blended at the input/output mix you select above (default 6:1). Actual savings depend on your workload mix, model selection, and routing configuration.
Sources: Price Per Token · Artificial Analysis · BenchLM · OpenAI API pricing · Claude API pricing · Breaking the Celebrity LLM Monopoly

What you get with Krista

This isn't only a cost play. It's governance you don't have today.

Role-based access & model portfolios

Each role gets its own model portfolio, guardrails, and budget. A research role can get a broader portfolio and a higher budget. An entry-level role gets a portfolio of inexpensive models and a spending cap. Routing, guardrails, budgets, and audit all key off role, so policy is consistent and enforced across the workforce, not just for whoever happens to ask for it.

Governed MCP, not shadow MCP

The Krista MCP Server turns Krista's extensions, conversations, and connected enterprise systems into governed MCP tools that any MCP-enabled AI client — Claude, ChatGPT, Gemini — can invoke. Every tool is scoped to the user's role, rate limiting stops a runaway model before it damages a back-end system, and every invocation is logged in an audit trail. Approved third-party MCP servers can be installed inside Krista too, instead of running ungoverned on someone's laptop.

Offer ends:

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