Live route
Claude -> Qwen failover
Switch providers while preserving session state, logs, and customer-level billing rules.
Multi-provider AI access
The access layer between users and the fastest-moving model market.
Totle lets people and product teams move between ChatGPT, Claude, Qwen, Ollama, and future AI providers without rebuilding their workflow every time the market shifts.
Core thesis
The winning product is not tied to one model vendor. It is tied to a system that can route, switch, meter, and commercialize many providers from one surface.
Live route
Claude -> Qwen failover
Control
Unified request schema
Standardize prompts, responses, and provider behavior so product logic stays stable across model vendors.
Coverage
Hosted + local + private
Support commercial APIs, local inference, and private model deployments from one orchestration layer.
Business
Usage-aware API platform
Attach plans, metering, quotas, and customer billing directly to multi-provider AI usage.
Claude
ChatGPT
Qwen
Ollama
Private models
Local inference
Future endpoints
Problem
Teams want access to the best model, but the market punishes repeated integration.
Provider fragmentation keeps breaking product teams.
Every new AI provider brings another auth flow, request schema, cost model, operational constraint, and switching problem. Teams are forced to keep rewriting the same platform work.
OpenAI, Anthropic, Qwen, Ollama, and custom stacks all behave differently.
Moving products between providers often means rewriting prompts, controls, and monitoring logic.
Without one control plane, usage, fallback behavior, and pricing visibility stay fragmented.
Network fabric
Totle behaves like a switching fabric for AI products.
The platform is built around one idea: product teams should not care which provider runs a request, only that routing, policy, and customer experience remain stable.
Access layer
Users and apps connect through one product and one developer surface.
Gateway normalization
Requests and responses are shaped into a common contract across providers.
Routing and policy
Model selection follows cost, latency, customer tier, or workload rules.
Provider connectors
Hosted LLMs, local runtimes, and private deployments all sit behind the same layer.
Usage intelligence
Billing, quotas, and visibility become part of the AI platform itself.
Platform modules
Built for access, routing, continuity, and commercial control.
Gateway
Unified AI API layer
One endpoint surface that abstracts request differences across providers and lets products integrate once.
Provider switchboard
Move workloads between models by policy, quality, cost, or availability.
Session continuity
Preserve conversation state while the backend provider changes.
Usage and plans
Attach metering, plans, quotas, and business logic directly to AI consumption.
Performance visibility
Track routing events, fallback behavior, latency, and provider performance.
Why it wins
The advantage is provider agility with product continuity.
Build once
Product teams integrate one platform instead of repeating provider-specific platform work.
Switch without breakage
Users and customers keep the same interface even as the backend model changes.
Commercialize the layer
Usage, access tiers, and API plans become first-class features of the platform.
Business model
A product business on top of an AI infrastructure layer.
Premium access
Charge for higher limits, better model access, and multi-provider workflows.
Platform licensing
License routing, provider access, and control features to teams shipping AI products.
Unified API revenue
Offer one commercial API surface instead of asking every developer to wire multiple vendors.
Developers
AI startups
Agencies
Enterprise teams
Power users
Operators
Launch path
Ship as access first, expand as orchestration infrastructure.
Core access
Chat product, early provider support, unified schema, and account-level usage controls.
Routing logic
Fallback, model selection policy, observability, and customer plan enforcement.
Enterprise control plane
Workflow APIs, private model support, and deeper orchestration tools.
Ready to launch
Contact Team
One interface for many AI providers, one layer for the business behind them.
Talk to us about access, integrations, or early deployment partnerships.