Stable, Predictable Pricing

Find the price that suits your needs.

Simplify the pricing for AI that actually works, without tracking user licenses or the added context tax in your consumption charges. Bloomfire can span teams, departments, or go enterprise-wide, so we’ve designed flexible solutions and a pricing estimator that can help you plan your purchase.

Pricing Estimator with Token Savings

Estimate your annual price

Tell us about your knowledge, AI usage, reach and company size. Your estimate updates as you adjust each input, and shows where you sit on each scale.

Your token consumption savings

Every RAG query re-reads the same documents from scratch. Bloomfire EIE reads once and reasons from memory after that. See what that difference is worth at your scale, based on the AI Actions and Knowledge Objects you entered.

What the context tax costs you in consumption charges:

0%fewer tokens per query
—
times more efficient per query
$0
saved per year
$0
saved per month, on average
$0
saved per query, on average

Token usage per year

Total tokens consumed by your AI Actions over 12 months.

Traditional RAG
0
tokens per year
Bloomfire EIE
0
tokens per year

Knowledge considered per query

Percentage of the connected knowledge referenced from your ecosystem.

Traditional RAG
0%
of ecosystem considered
Bloomfire EIE
100%
of ecosystem considered

From base price to net price

Your token consumption savings are subtracted from the base price.

Savings across the usage scale

Estimated yearly consumption savings at each AI Actions level. The vertical axis is logarithmic.

Adjust the assumptions

This is a directional model, not a certified benchmark. RAG cost is modeled as annual AI Actions × tokens per query, priced at a blended rate per token. Bloomfire EIE cost is modeled based on the Knowledge Objects ingested, amortized across the contract length. It does not scale with query volume, since the expensive understanding happens once at ingest rather than on every search. Knowledge considered per query reflects RAG’s fixed retrieval window (a constant, editable top-k that does not grow with the ecosystem) against Bloomfire’s persistent semantic memory, which reasons over the entire ecosystem regardless of its size. Annual figures cover a 12-month period, and monthly figures are the annual figure divided by 12. Edit any assumption below to match your own measured numbers or contract terms.

Estimated annual net price$0
See breakdown

Build your knowledge ecosystem

Connect knowledge pools of documents, conversations, media, data, and expertise with your Persistent Semantic Memory™ to ground your AI. Use our turn-key of connectors or build your own to connect to any enterprise systems.

Universal Connector Framework

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