Scale Your AI from
Prototype to Production
Divyam.AI is the adaptive control layer for production inference. It routes every prompt to the optimal model, measures outcomes, and recalibrates continuously as models evolve, traffic shifts, and economics change.
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What is Divyam.AI?
Systems PerspectiveAt a systems level, Divyam.AI behaves like a closed-loop, discrete-time, nonlinear, adaptive control system for optimizing production inference under changing models, traffic, and economics, with mechanisms to detect behavioral drift and identify when the current evaluation framework is incomplete.
- Closed-loop
- outcomes feed future decisions
- Discrete-time
- updates occur in operating cycles
- Nonlinear
- small changes can have outsized effects
- Adaptive
- routing and evals recalibrate with new evidence
- Behavioral drift
- detects shifts in live traffic and response patterns
- Evaluation gaps
- reveals important behavior not yet covered by current evals
You tag 100. EvalMate writes thousands.
Creating evals is the hardest part of shipping AI to production. EvalMate takes a small set of your preferences and builds a complete evaluation pipeline, co-creating scoring criteria, training automated judges, and scaling to thousands of evaluations at a fraction of the cost.
- Start with ~100 examples of what “good” looks like. EvalMate builds your scoring criteria
- Trains an automated judge that agrees with your team 92% of the time
- Scales to 10,000+ evaluations at 100x lower cost than manual review
- Feeds directly into routing and model fine-tuning
Not just routing. Agent-level intelligence for every call.
Most routers are either lookup tables, rule-based systems, static decisions, or fire-and-forget pipelines. Divyam.AI's Model Router is the most advanced dynamic decisioning system, trained on your data. It understands agent behavior, conversation context, and task structure. It is one part of a larger closed-loop system: evaluation signals from EvalMate are processed in operating cycles and fed back to continuously recalibrate routing decisions.
- Trained on your data, not generic benchmarks
- Understands agent intent, context, and conversation history
- Customer-specific intelligence that improves over time
- 50% cost reduction with measurably better quality
New models launch weekly. You'll never fall behind.
Models are a commodity. The hard part is knowing which one to use. Divyam.AI continuously benchmarks every new model against your workloads, automatically adopts top performers, and retires underperformers. Zero manual testing, zero downtime.
- Auto-benchmark new models against your specific use cases
- Adopt better models in under a day, not weeks
- Eliminate model churn risk with automated evaluation
- Live leaderboard ranked by quality, cost, and latency
Full visibility into every inference decision.
Monitor cost, latency, quality, and throughput across every model and prompt. Catch regressions before they reach production. Know exactly where your AI spend goes.
- Real-time cost and latency analytics
- Quality monitoring with automatic alerting
- Per-model and per-prompt performance breakdown
- Usage reports and spend allocation dashboards
One Platform. Complete AI Infrastructure.
Your apps connect through a single API. Divyam.AI handles model selection, routing, evaluation, and continuous optimization automatically.
Every decision is trained on your data, your agents, and your workloads. The intelligence is unique to your organization. No shared models, no generic benchmarks.
Integrate Effortlessly into Your Ecosystem
Seamlessly adapts to AWS, Azure, GCP, or on-prem setups without disrupting workflows. Secure APIs, flexible deployment, and automated model routing for peak efficiency.
SaaS
Get started in minutes with our fully managed cloud platform. Zero infrastructure overhead, automatic updates, and instant access to 100+ models through a single API endpoint.
Privately Hosted
Deploy on your own AWS, Azure, or GCP infrastructure. Full data sovereignty with enterprise-grade security, dedicated resources, and seamless scalability under your control.
On-Prem
Run entirely within your data center for maximum security and compliance. Air-gapped deployments, custom model hosting, and full network isolation for regulated industries.
The Divyam.AI Difference
Without Divyam.AI
- Generic routing that knows nothing about your agents
- Manual evaluation with spreadsheets and vibes
- New model launches mean weeks of re-evaluation
- No visibility into cost, quality, or where spend goes
With Divyam.AI
- Agent-aware routing trained on your data
- Quality intelligence layer that detects drift and governs routing
- New models benchmarked and adopted automatically
- Full observability into cost, latency, and quality per prompt
Frequently Asked Questions
What is Divyam.AI?
Divyam.AI is an adaptive closed-loop system for optimizing production AI inference. It continuously measures real-world outcomes, evaluates quality against customer-specific standards, detects drift and gaps in evaluation coverage, and uses that intelligence to improve routing and model adoption over time.
What is LLM routing, and why does it matter?
LLM routing is the decision process that selects the best model for each request. Instead of sending every prompt to one default model, Divyam.AI chooses the model most likely to meet the required quality at the best achievable cost for that specific task.
How does Divyam.AI reduce inference cost without sacrificing quality?
Divyam.AI routes simpler requests to lower-cost models and reserves frontier models for cases that truly need them. Because the system continuously evaluates outcomes and adapts to model, traffic, and pricing changes, savings compound over time rather than stopping at a one-time optimization.
What does EvalMate do?
EvalMate is Divyam.AI's quality intelligence layer. It helps teams define what good looks like, measure production behavior against that standard, compare models, detect drift, and generate the signals needed to govern routing in production.
What are "gaps in evaluation coverage"?
They are important regions of production behavior not yet adequately captured by the current eval framework. Divyam.AI detects these blind spots so the system can evolve not just its routing decisions, but also what it measures.
How is Divyam.AI different from other routers or eval tools?
Most routers optimize decisioning. Most eval tools optimize measurement. Divyam.AI connects both into a closed loop: quality is measured, drift and coverage gaps are identified, and routing improves in response. The result is customer-specific intelligence that compounds over time.
What is Model Inertia?
Model Inertia is the tendency of teams to stay on their current production model long after better or cheaper options become available. Divyam.AI breaks that inertia by continuously evaluating new models against your quality bar and updating production decisioning accordingly.
Ready to Scale Your AI?
Join the teams shipping AI to production with confidence. Start with a demo or try EvalMate free today.