Akia AI Early Access Preview

Akia AI Early Access Preview

Your intelligent research partner

2 followers

Akia AI is a next-generation cognitive platform designed to integrate with your tools, systems, and workflow. This early-access preview lets builders, developers, and innovators experience how Akia thinks — blending reasoning, context, and automation. We’re testing llm responses, speed, and conversation flow before the full Akia AI launch. Feedback from early users will directly shape the public release. We are also looking to collect feedback on the best integrations to add first.
Akia AI Early Access Preview gallery image
Akia AI Early Access Preview gallery image
Akia AI Early Access Preview gallery image
Akia AI Early Access Preview gallery image
Akia AI Early Access Preview gallery image
Free Options
Launch Team / Built With
AssemblyAI
AssemblyAI
Build voice AI apps with a single API
Promoted

What do you think? …

James Bernard
Maker
📌
I started Lacesse to create alternative ai architectures from llms such as hierarchical reasoning models, and while at it, I noted that these models were mostly for reasoning and focused on solving one problem. So instead, I shifted to improving the current efficiency of LLMs by adding more tools to current chatbots and transforming them to reasoning engines. I noted that as a solopreneur, it can be hard to figure out what to do to move your own company, so I started with making ai chatbots able to have multi-step processes where they can plan out various different a user should do to move forward, and coupled with that, I added branching out where one can, in the same chat, have multiple branches so as to have multiple conversations going on without losing context or memory. And to ai responses, I added summary and latest news so that if ai responses are too long a user can get the TL:DR version of it in a summary and also get the latest news related to that response, thus increasing the productivity of users. My vision for Akia AI is to have it be an action tool not just a reasoning engine, so that, when we add integrations, an llm can plan what a user has to do based on set integrations which range from g-mail to asana to lacesse one and calendar, giving the user an active system and plan to achieve their goals and not just that, but an actual system to follow these steps and do what they have to do to move forward.