Route every request to the best model for quality, cost, and latency —
then turn production traces into eval suites and fine-tune datasets.
Built for high-volume workloads across leading cloud providers.
Inference Labs is architected to run natively on — and maximize consumption of — the AI services offered by the world's top cloud providers. As we scale, we drive significant API usage across every platform we support.
Foundation Model APIs
Production-grade large language model and multimodal model APIs from the world's leading cloud providers. Optimized for high-throughput consumption at scale.
LLMsMultimodalEmbeddings
Image & Vision AI
Image generation, computer vision, and visual recognition services. Full routing and trace support for image-based workloads across cloud vision AI platforms.
Image GenVisionRecognition
Managed ML Infrastructure
Managed model endpoints, batch inference pipelines, and cloud-native ML infrastructure. Designed to maximize utilization of compute resources across providers.
EndpointsBatchPipelines
Our platform is designed to grow usage across these ecosystems — not replace them.
Platform Benefits
Less waste. Better outputs. Full control.
Inference Labs sits between your application and the AI providers you've approved — adding policy, observability, and quality assurance without lock-in.
Smart Routing
Policy-driven model selection based on prompt metadata, task type, latency budget, and cost constraints. Allowlist only the models your team approves.
Cost Optimization
Caching, deduplication, and token-budget policies dramatically reduce wasted spend. Spend dashboards and per-workspace budget caps keep projects on track.
Quality Assurance
Automated eval packs run against every model in your allowlist. Track pass-rate trends, catch regressions before they ship, and build confidence in your stack.
Fine-Tune Insights
Compare base versus fine-tuned models across your real production distribution. Export JSONL preference pairs and SFT datasets directly from traces.
Product Overview
Two integrated capabilities
Inference Labs is built around two complementary engines that work together to reduce cost, improve quality, and generate the data you need to keep improving — all powered through cloud provider APIs at scale.
Router & Optimizer
Multi-Model Router
A single unified endpoint for text, image, and video generation that routes each request to the optimal provider — based on policies you define across your approved cloud providers.
Native integration with leading cloud AI provider APIs
Data Refiner
Production Data Refiner
Capture every trace — prompts, parameters, outputs, cost, and latency — then automatically refine that data into evaluation suites and training datasets.
Benchmarking packs: compare base vs. fine-tuned models
Configurable retention policies & human review workflows
How it Works
Five steps from request to improvement
Inference Labs fits into your existing stack via a single API endpoint. Each request flows through the platform and feeds back into a continuous improvement loop.
1
Connect
Point your app at the unified endpoint. Configure your approved cloud providers.
2
Route
Each request is matched to the best available model per your policies.
3
Measure
Traces are captured: latency, cost, tokens, output quality signals.
4
Refine
Raw logs are cleaned, deduplicated, redacted, and structured.
5
Improve
Export eval suites and fine-tune datasets. Run benchmarks. Iterate.
example_request.json
// POST https://app.inference-labs.com/api/v1/generate// Authorization: Bearer <your-api-key>
{
"modality": "text",
"prompt": "Summarize the following support ticket and suggest a priority label...",
"constraints": {
"max_cost_usd": 0.01,
"max_latency_ms": 3000,
"strategy": "quality-first"
},
"allow_models": ["gpt-5.4-mini", "claude-haiku-4-5", "gemini-2.5-flash"],
"workspace_id": "ws_support_team",
"trace": { "collect": true, "redact_pii": true }
}
Security & Governance
Designed for enterprise trust
Inference Labs is built with data governance, workspace isolation, and auditability as first-class concerns — not afterthoughts.
Encryption in Transit & at Rest
All data is encrypted over TLS 1.3 in transit. Storage-level encryption designed for compliance with industry standards.
Workspace Isolation
Each workspace has isolated credentials, model allowlists, trace storage, and billing. No cross-workspace data leakage by design.
Audit Logs
Immutable, timestamped audit trails for every routing decision, model call, and configuration change. Exportable for compliance reporting.
PII & Secrets Redaction
Configurable redaction pipeline removes PII, credentials, and sensitive patterns from traces before storage — reducing data handling risk.
Data Retention Controls
Set per-workspace retention windows. Automatically purge traces after defined periods. Zero-retention mode available for sensitive workloads.
Human Review Workflows Roadmap
Label traces and review outputs through a structured human-in-the-loop interface. Flag outputs for quality assessment before inclusion in training sets.
IP Allowlisting & Rate Controls
Restrict API access to approved IP ranges and enforce per-key rate limits. Protect workspaces from unauthorized use and runaway consumption.
SOC 2 Compliance Readiness Roadmap
Infrastructure and processes designed with SOC 2 Type II readiness in mind. Full audit trail, access control, and incident response policies in place.
Pricing
Simple, credit-based pricing
Scale as your usage grows. One credit is one action: every routed request, eval decision, or dataset export costs exactly 1 credit — no token math, no surprises. Every plan starts with a 7-day free trial (card required; cancel any time before it ends and you won't be charged).
Pay as you go
$20 minimum deposit
$10 signup bonus = 1,000 routing actions
For teams that want flexible routing without a recurring subscription.
1 credit = 1 routed request or router decision, on every plan. Additional credit top-ups available any time, from $20 to $5,000 — top-ups over $100 get a 20% bonus. Credits do not expire within your billing cycle.
FAQ
Common questions
No. Inference Labs does not train, host, or serve AI models. We orchestrate and evaluate the models you have already approved through cloud provider APIs. You control which providers and models are enabled for each workspace.
No. Our routing reduces waste (redundant calls, suboptimal model selection, cache misses) and improves reliability — which enables more sustainable, higher-quality usage of the providers you already rely on. The goal is fewer failed requests and better ROI from your existing cloud provider spend, not migration away from any provider.
Storage is configurable. You can enable trace collection with configurable retention windows, or run in zero-retention mode. The redaction pipeline strips PII and secrets before any data is persisted. You own your traces — they are never shared with other customers or used to train shared models.
We handle dataset preparation and evaluation. Our Data Refiner exports structured JSONL files — SFT pairs, preference pairs, and eval sets — ready to hand off to your fine-tuning pipeline or a cloud provider fine-tuning service. Managed fine-tuning integrations with leading cloud providers are on our roadmap.
Direct model calls give you no observability, no policy enforcement, and no data pipeline. Inference Labs adds: (1) cost intelligence — routing to cheaper models when quality requirements allow; (2) reliability — failover and retry across your approved model set; (3) governance — budget caps, allowlists, audit trails; (4) quality loops — eval suites built from your actual production distribution, not synthetic benchmarks.
1 credit = 1 action. Every routed request — text, image, or video — costs exactly one credit, as does each eval decision (one prompt scored against one model) and each dataset export. There is no token-based metering and no per-model multiplier, so your bill is exactly proportional to how much you use the router.
The platform is designed for multimodal workloads: text generation, image generation, and video generation. Text is fully supported today. Image and video routing are in active development. All modalities share the same workspace, policy, and tracing infrastructure.
No. Inference Labs is an independent company. We are not affiliated with, endorsed by, or officially partnered with any AI provider or cloud platform. We integrate with cloud provider APIs through standard documented interfaces to deliver an orchestration and optimization layer on top.
Company
Building the infrastructure layer for responsible AI
"AI adoption stalls when teams can't measure what they're getting, can't control what they're spending, and can't trust the outputs they're shipping. We exist to fix that."
Generate content that is illegal, defamatory, or violates any third-party rights
Circumvent, disable, or interfere with security features of the platform or connected providers
Systematically harvest or scrape data in violation of provider terms
Generate CSAM or content that sexualizes minors
Conduct automated attacks, spam, or credential stuffing
Misrepresent your identity or the source of AI-generated content in contexts where that would constitute fraud
Route requests through providers you do not have valid authorization to access
Enforcement
We reserve the right to suspend or terminate access for violations of this policy, without advance notice in cases of serious violations. Suspected illegal activity will be reported to appropriate authorities.
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