How it works
Every request passes through ModelSpend before it reaches a model.
ModelSpend sits before the model call — every request is routed, checked against policy and budget, then sent to the right provider with full audit visibility.
Why teams reach for ModelSpend
AI usage spreads fast. Control grows slowly.
Agentic workflows multiply hidden calls and retries
Workflow-level visibility surfaces the real request volume, not just the entry point.
Every app and agent picks its own model, by habit
Policy-based routing sends each request to the right model for the job, consistently.
AI bills grow faster than finance can explain
Real-time cost attribution by model, team, and workflow — not just a monthly invoice.
Teams lack budget guardrails and approval controls
Set hard caps and approval gates that actually stop overspend before it happens.
Security teams lack audit trails for prompts and keys
Immutable audit logs covering every request, provider, and key — exportable to SIEM.
Nobody can say which provider is actually healthy right now
Live provider health and status feed straight into routing decisions, in real time.
One request, many possible routes
ModelSpend picks the route. Not the developer's habit.
GPT-4o
Best for complex reasoning
Claude 3.5
Best for long-context tasks
Gemini 1.5
Best cost/quality balance for this request
Mistral
Best for high-volume batch jobs
Built for every team touching AI
One control layer, four different jobs done.
Engineering
Routing control and integration clarity — one interface in front of every provider.
Finance & FinOps
Usage and spend visibility by team, model, and workflow, not just a monthly invoice.
Leadership
Measurable AI operations — see what AI is actually doing across the business.
Governance & Security
Policies, auditability, and controls that hold up under review.
Modular by design
Enable only the controls you need.
Routing Optimisation
NewIntelligently route to the best model for quality, latency, and cost.
Learn morePrivacy Controls
Keep sensitive data on your terms — self-hosted routing options available.
Learn moreBuilt for how teams actually use AI
One control layer, every use case.
Customer Support Agents
Route high-volume support conversations to the right model, with budget caps per team.
Learn moreInternal Copilots & Dev Tools
Give every internal tool a consistent, policy-checked path to model providers.
Learn moreContent & Marketing Ops
Keep content generation workflows auditable and within approved provider policy.
Learn moreData & Analytics Agents
Track cost and usage for multi-step analytics agents down to the individual task.
Learn moreBuilt for the metrics enterprises actually ask for
Built to route across leading model providers
- OpenAI
- Anthropic
- Google Gemini
- Azure OpenAI
- AWS Bedrock
- Mistral
- Cohere
- OpenRouter
Integrates with your observability and security stack
- OpenTelemetry
- Datadog
- New Relic
- Jaeger
- Splunk
- Elastic
- Sentry
- Nightfall