This company develops a cognitive computer, an intelligent software substrate designed to perceive, remember, reason, and act across all authorized tools and services. It functions as a horizontal cognitive foundation, eliminating manual context-switching for knowledge workers. The platform aims to amplify individual, team, and organizational productivity through hyper-personalization and seamless orchestration.
Funding
$10M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.


Founders
Product
Problem
Developing and deploying generative AI applications presents challenges in ensuring reliability, safety, and alignment with specific use cases. Existing evaluation methods often lack the speed and customizability needed to effectively debug, evaluate, and improve these applications in production environments.
Solution
LastMile AI offers a full-stack developer platform designed to streamline the process of building and deploying reliable generative AI applications. The platform enables developers to fine-tune custom evaluator models tailored to their specific evaluation criteria. By providing tools for real-time guardrails and continuous performance monitoring, LastMile AI helps address critical issues such as hallucinations, toxicity, and safety. The platform includes AutoEval, which facilitates the creation of custom metrics through LLM Judge labeling and fine-tuning of small evaluator models.
Target Audience
LastMile AI targets software engineers and AI application developers building and deploying generative AI applications in production environments.
Features
- AutoEval: Fine-tunes custom evaluator models based on user-defined criteria.
- LLM Judge Labeling: Generates synthetic labels for application data using LLM Judge and human-in-the-loop.
- Realtime Guardrails: Implements fast, online evaluators for real-time checks on hallucinations, toxicity, and safety.
- alBERTa: A 400M parameter entailment model optimized for evaluation tasks, enabling fast inference (300ms) and efficient deployment on CPU.
- Secure & Private: Offers VPC deployment for complete control over the data plane.