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Ship LLM apps

with confidence.

Ship LLM apps with confidence.

LastMile is the full-stack developer platform to debug, evaluate & improve AI applications. Fine-tune custom evaluator models, set up guardrails and monitor application performance.

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AutoEval


Custom metrics for your application

AutoEval enables fine-tuning blazing-fast evaluator models customized to your eval criteria.

dataset management

Upload & manage application data, such as input/output trace data

labeling

Generate synthetic labels for your application data by defining your evaluation criteria as a prompt, and labeling with LLM Judge + human-in-the-loop.

fine-tuning

Fine-tune a small evaluator model distilled from the labeled dataset. Use this custom metric for both offline evals and online guardrails.

Eval-driven AI development

We are determined to make GenAI development more science than art. AutoEval comes batteries-included with evaluation metrics for RAG and multi-agent AI applications, as well as a fine-tuning service to design your own evaluators.

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alberta model icon

Meet alBERTa

A powerful small language model designed for evaluation tasks

Small-
400M params

Fast-
300ms inference

Efficient-
Runs on CPU

alBERTa is a versatile 400M parameter entailment model that generates a numeric score for evaluation tasks like faithfulness.

Its small size means it can run inference in less than 300ms, be deployed on CPU, and be fine-tuned efficiently for custom evaluation tasks.

Learn more

Realtime Guardrails

Guardrails are just fast online evaluators in your app runtime. Use our evaluators for real-time checks on hallucinations, toxicity, safety, or custom criteria.

Build guardrail

Secure & Private

Maintain complete control over your data plane by deploying the LastMile platform within your VPC.

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Join the mission

Find Open Roles

Talks & Workshops

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Small Models,
Big Impact

We provide specialized small language models for discrete tasks, which you can easily personalize, fine-tune and run efficiently on your own infrastructure.