Affinda Control
Cut your AI spend without cutting quality.
Affinda Control cuts your AI spend automatically with smarter prompt caching, then shows your developers which fixes are worth making. All in your own cloud.
How it works
See where your AI spend goes, and how to reduce it
From day one
Then go further Savings, automatically
From the moment Affinda Control is switched on, intelligent caching and other optimisations cut cost, with no change to the quality of what comes back.
- 1
See
Spend by application, team or person, across every provider.
- 2
Diagnose
Which requests cost more than they should, and why.
- 3
Act
Further savings are ranked by dollar impact for each application, team or person, so your teams decide what to change.
Report · spend and savings Illustrative data
- Contract reviewLegal $2,309 38% +9%
- Claude CodeEngineering $2,168 7% +11%
- Deal researchSales $980 19% +12%
- Agent assistSupport $640 33% +4%
- Invoice matchingFinance $365 26% +14%
- LegalContract review $2,309 38% +9%
- EngineeringClaude Code $2,168 7% +11%
- SalesDeal research $980 19% +12%
- SupportAgent assist $640 33% +4%
- FinanceInvoice matching $365 26% +14%
- Amara OseiLegal $1,544 41% +8%
- Daniel ChoEngineering $1,178 5% +14%
- Priya RamanEngineering $990 9% +8%
- Oliver GrantLegal $765 32% +11%
- Hannah NovakFinance $365 26% +14%
How it is different
The usual fixes either cost you quality or save you nothing.
Usage caps and licence cuts remove useful AI as well as waste. Cheaper models can reduce quality. Response caching reuses old answers, which can go stale. Affinda Control sends every request to the model and only lowers what you pay for the parts it has seen before.
A dashboard shows where the money went. Affinda Control also cuts that spend and reports what it saved.
For engineering teams
- Install
- Self-hosted in your cloud, one instance per customer. Apps connect either as a proxy (change one base URL, no code changes) or by calling it from your code, and it works alongside any existing gateway.
- Data
- Prompts and responses stay in your environment. Your provider key is never stored. Nothing is sent to Affinda unless you opt in, and then metadata only. We never train on your content. Log retention is configurable.
- Reliability
- Fails open: if Affinda Control fails or is unavailable, the request goes straight to the provider, so your AI keeps working. Streaming responses are unaffected. You can test it on staging traffic before it touches production.
- What it changes
- By default, only cache markers and cache duration change. Recommendations go to your developers to decide on.