Divyam.AI for Enterprises
Lower inference spend across your business applications, your coding agents and the AI tools your employees use every day. Custom evals define the quality each workload has to meet.
Custom evals set the quality bar for each workload
Share about 100 representative examples, and measurable quality criteria are written for you. An automated judge scores every output against them, and the API sends each request to the model that fits best on quality, latency and cost.
- Criteria from your examples. Start from about 100 examples of what “good” looks like, and get measurable criteria back for each use case.
- Every output scored. An automated judge that agrees with your team 92% of the time scores every output.
- A complete audit trail. Every criterion, dataset, judgment and revision is versioned.
A selector trained on your evals and your data
- Candidate models benchmarked against your quality criteria
- Your fine-tuned models routed beside the frontier models
- Routing recalibrated continuously from production traffic
The selector learns which model meets your bar for each type of request, across applications, coding agents and employee tools. It can include specialised models you have fine-tuned and host yourself. In production, a reward model scores a sample of traffic off the critical path and keeps routing current.
Your data and your infrastructure
Use the managed SaaS, or run Divyam.AI inside your own environment.
- Your data stays yours. Divyam never uses data from your company to train models for other customers.
- Your own cloud. Run in your AWS, Azure or GCP account.
- Your own data centre. Deploy on your own hardware, including air-gapped environments.
What could smarter routing save you?
Enter a number from 0.5 to 50.
$2.00 input / $10.00 output per million tokens · USD
Illustrative scenarios, not a prediction of your routing results.
Pricing and calculation assumptions
Enter a number from 0 to 100.
Annual baseline = monthly tokens in millions × weighted price per million tokens × 12. Savings = annual baseline × selected reduction.
Standard text API rates, read October 23, 2026. Excludes cached and batch discounts, long-context surcharges, tools, taxes, and Divyam.AI fees. Monthly volume and prices are held constant for 12 months.
Anthropic pricing source (opens in a new tab)Estimated annual savings with Divyam.AI
$108,000
USD per year at an assumed 50% cost reduction
- Annual cost on your frontier model
- $216,000
- Estimated annual cost with routing
- $108,000
An estimate at Anthropic list prices, not a quote.
Talk to Our TeamBring your evals and your data
Tell us about your workloads and the quality bar each one has to meet.