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LastMile

(4.3)

Claim AI Tool
Paid Plan - Custom

Platform:

Web

Best for:

Enterprise-Grade LLM Evaluation & Fine-Tuning

Free Trial:

Not Available

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AIChief Verdict
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AIChief Rating

(4.3)

Visit LastMile

After an expert analysis conducted by AIChief, we concluded that LastMile is a versatile AI-powered platform that helps organizations and enterprises enable fine-tuning of evaluation models, which allows them to test LLM applications. It provides built-in evaluation metrics for RAG and multi-agent AI applications while allowing custom fine-tuning for specialized needs. The platform also includes real-time AI guardrails that allow businesses to detect hallucinations, toxicity, and safety issues in real time.However, we observe that the platform specializes in evaluation and fine-tuning only, which means that the companies need external LLMs for AI generation. Plus, the accuracy of evaluations depends on high-quality and well-structured input data for meaningful insights.

Features

(4.3)

Accessibility

(4.3)

Compatibility

(4.3)

User Friendliness

(4.3)

Updated November 26, 2025

What is LastMile?

LastMile is a valuable AI-powered platform that helps businesses fine-tune and optimize their LLM applications. It enables companies to build custom evaluator models, set up AI guardrails, and monitor AI performance in one place. 

The platform includes AutoEval, which helps businesses fine-tune evaluator models customized to their specific evaluation criteria to ensure reliable and accurate AI assessments. LastMile allows users to upload and manage application data, label outputs with an LLM judge, and refine evaluation models with a streamlined process.

In addition, LastMile also includes alBERTA, a powerful and efficient 400M parameter entailment model built for evaluation tasks. It runs inference in less than 300ms, operates efficiently on CPUs, and can be fine-tuned for custom evaluations.

LastMile Review Summary
Performance Score
A
Interface
Normal
AI Technology
Natural Language Processing, Machine Learning
Purpose of Tool
LastMile enables enterprises to evaluate, fine-tune, and monitor LLM applications with real-time AI guardrails.
Compatibility
Web Browsers
Pricing
Paid

Who is best for using LastMile?

  • AI & ML Engineers: It helps fine-tune evaluator models, set up custom AI metrics, and optimize LLM performance.
  • Data Science Teams: The platform enables structured evaluation of AI-generated content, ensuring faithfulness, correctness, and relevance.
  • Enterprise AI Teams: LastMile provides real-time guardrails for detecting hallucinations, toxicity, and safety risks in AI applications.
  • AI-Powered Businesses: It is helpful for enterprises deploying LLMs in finance, healthcare, media, and other regulated industries where accuracy and compliance are critical.
LastMile Key Features
AutoEval
Custom AI Metrics
Dataset Management
Fine-Tune Evaluators
Faithfulness & Relevance Checks
Toxicity & Safety Detection
Summarization Evaluations
alBERTa Model Integration
Real-Time AI Feedback

Is LastMile Free?

As of now, there is no information available on its website regarding pricing plans or free trial. However, LastMine allows you to Chat with Us and discuss further information.�

LastMile Pros and Cons

Pros
Businesses can fine-tune evaluator models with custom metrics.
Provides instant detection of hallucinations, toxicity, and safety risks.
The alBERTa model runs inference in under 300ms.
Supports deployment within a Virtual Private Cloud (VPC) for enhanced security.
Cons
Companies need external LLMs for AI generation.
The accuracy of evaluations depends on high-quality and well-structured input data.

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FAQs

What is alBERTa, and how is it useful?

alBERTa is a 400M parameter small language model optimized for evaluation tasks, running inference in 300ms and fine-tuning efficiently.

Does LastMile support real-time AI guardrails?

Yes, it provides real-time checks for hallucinations, toxicity, safety, and other evaluation criteria directly in the application runtime.

Who can benefit from LastMile?

AI developers, enterprises, and research teams need reliable LLM evaluation, fine-tuning, and security-driven AI deployment.

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