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Hachiko Reviews and Product Details

ANI.ML Hachiko summarizes long vet records in seconds, finds missed details, delivers client ready summaries, simple copy paste to your EMR.

Hachiko

What is Hachiko?

Hachiko by ANI.ML is a veterinary medical record summarizer built for everyday clinical use. Upload PDFs, even hundreds of pages, and get structured summaries in seconds that surface the information you need to make decisions fast. Choose the format that fits your task, condensed, standard, paragraph, or a client friendly summary for discharge conversations and emails. Copy and paste directly into your EMR with one click, then move on to the next case. Hachiko is designed and validated by veterinarians, and it is built to save time without adding friction. Multi language support means it can read and write in English, French, Spanish, and Italian. A simple dashboard tracks your personal time saved so you can see the impact week over week. You can also chat with your summaries to clarify timelines, extract lists, or answer follow up questions. During the free trial and on unlimited plans, chat features are available so teams can experience real time answers. For practices that regularly receive long referral packets or multi year histories, Hachiko turns hours of manual review into seconds. On the company site, ANI.ML reports that the system routinely finds details clinicians might miss, and approximately 30 percent of the time it surfaces something important you would have overlooked. The result is more consistent documentation, clearer client communication, and confident care plans. Security and privacy are covered by hosting on AWS with HIPAA compliant standards, which exceed typical veterinary requirements. The free trial includes 5 summaries so you can see how it works with your own records. Team, academic, and enterprise pricing are available for larger groups. If your goal is to improve patient care, get home sooner, and standardize communication, Hachiko gives busy veterinary teams a fast way to transform lengthy records into readable, usable summaries that fit the day.