Anote, Inc.

Anote, Inc. is a for-profit, self-certified small disadvantaged business based in New York, NY, that has established itself as a federal contractor serving the Department of Defense through specialized research and development initiatives. The company is registered with SAM.gov and maintains an active federal contracting profile, with its registration set to expire on May 31, 2026. Anote, Inc. operates within the innovation and research sectors, providing capabilities that support the federal government's technology development and operational planning objectives, particularly within the Air Force Research Laboratory's research portfolio.

Anote, Inc. has demonstrated federal contracting experience across three distinct awards totaling $168,437, all issued by Air Force Research Laboratory and Washington Headquarters Service between July 2025 and September 2025. The company has supported the JADPACT initiative through two purchase orders valued at $10,000 and $8,500 respectively, contributing to the generation of battle courses of action and supporting the JADPACT DASH MEF project with performance locations in New York and Las Vegas. Most significantly, Anote, Inc. received a $149,937 Small Business Innovation Research (SBIR) Program Phase I contract designated as a total small business set-aside from Washington Headquarters Service, focused on advancing human-centered artificial intelligence capabilities. All contracts have been structured as firm fixed-price arrangements, with the SBIR Phase I contract scheduled for completion by February 28, 2026. These awards indicate that Anote, Inc. provides research and development services, specialized support for military operational planning, and artificial intelligence technology development, positioning the company as a specialized vendor for innovative defense-related initiatives.

Anote is an end to end MLOps platform that enables you to obtain the best large language model for your data. On Anote, we provide an evaluation framework to compare zero shot LLMs like GPT, Claude, Llama3 and Mistral, with fine tuned LLMs that are trained on your domain specific training data (via supervised, unsupervised and RLHF fine tuning). We provide a data annotation interface to convert raw unstructured data into an LLM ready format, and incorporate subject matter expertise into your training process to improve model accuracies. End users can route / integrate the best LLM into their own, on premise, private chatbot, as well as interact with our software development kit for fine tuning.