Heliyos vs Day.ai

What Day.ai does well

Day.ai’s headline is "scale your company brain", and it describes itself as "the context graph and agent control plane" for a go-to-market team.

• Customer Memory. Day.ai describes it as "an LLM-optimized ontology built from automatically permissioned ingestion" of email, calendar, meetings and Slack, with permissioning and a central graph you control.
• Named agents. Day.ai says its agents "have names, job descriptions, and titles", run on events, schedules or request, and each reports to a person on the team.
• An agent control plane with versioned deployment, self-improvement loops and an audit trail, with approval before anything goes out.
• Skills such as morning briefings, inbox triage, deal risk flags and stale deal nudges, sold as skill slots per agent.
• Developer access: an API and SDK, MCP, and integrations with Slack, Gong, Gmail and Snowflake. The homepage shows Claude, OpenAI and Cursor as places the graph can be used.

Where Heliyos differs

Both products put memory first. The difference is what sits on top of it and who is expected to build it.

• Memory. Heliyos keeps one customer memory per account with company, people, deals, notes and files, and every worker reads it before acting and writes to it after, with the source attached. Day.ai’s Customer Memory is a graph designed to serve many agents and tools, including ones outside Day.ai.
• Workers. Heliyos ships Taylor, an AI account executive for follow-ups, proposals and scheduling, and Parker, an AI platform admin who keeps records current after every email and meeting, plus custom workers. Day.ai sells agents with skill slots that you fill, from two slots on Turbo to ten on Executive.
• Review. Heliyos puts outbound email, deal stage changes and file sharing in a Reviews queue with evidence and reasoning. Day.ai describes approval before anything goes out as part of its control plane; its pages do not describe a dedicated review surface.
• Sandboxed computer. Heliyos workers run on their own sandboxed computer with only the tools their job allows, so a worker can use inbox, calendar, files and web without reaching anything else. Day.ai agents run skills against the graph and connected tools.
• Pricing. Heliyos is usage-based with no seats. Day.ai charges a flat monthly rate per agent and says there are no usage-based fees.

How they handle keeping the record current after a meeting

Day.ai records meetings on every plan, including Free, and folds the transcript into Customer Memory. An agent with the right skill can then flag deal risk or draft a follow-up; on Professional and above it manages pipeline and opportunities. What changes on the record, and when, depends on the skills you have enabled.

In Heliyos, Parker reads the transcript and the surrounding thread, updates company, people and deal fields in the customer memory and attaches the quote that justified each change. A stage change waits in Reviews. Taylor drafts the follow-up from the same memory and that waits in Reviews too.

Setup and time to value

Day.ai starts fast: connect Gmail and calendar, let meetings record, and the graph fills. Value from agents depends on choosing skills, assigning each agent to a person and, on higher plans, writing custom instructions.

Heliyos asks you to connect Gmail or Outlook, a calendar and optionally HubSpot, then add accounts to the Watchlist. Taylor and Parker start on their default jobs and the first drafts appear in Reviews. Heliyos is in closed beta with a waitlist.

Pricing and who it fits

Day.ai charges per agent rather than per user. Its pricing page lists Free at $0, Turbo at $24 per agent per month, Professional at $60 and Executive at $200, with prices shown for annual billing and volume discounts from 21 agents upwards. Turbo adds email drafts, web search and two skill slots; Professional adds pipeline management and five slots; Executive adds prospecting and ten slots.

Heliyos prices on usage with no seats and no per-agent fee. You pay for the work the workers do. That suits a team that wants a small number of people reviewing a lot of worker output. Day.ai’s per-agent model suits a team that wants a predictable monthly cost for a defined set of skills.

When to choose Day.ai, when to choose Heliyos, when to run both

• Choose Day.ai if you want a context graph that your own tools, Claude, Cursor and internal agents can read through API and MCP, you want to pick skills per agent, and you prefer flat per-agent pricing.
• Choose Heliyos if you want the account executive and record upkeep jobs done by default workers, a Reviews queue with evidence on everything outbound, and usage pricing. It fits founders and revenue leaders who want to delegate real work without losing control.
• Running both is rare because each wants to be the memory. If you already use Day.ai as a graph for engineering and GTM tooling, Heliyos would duplicate the ingestion. Pick one as the memory and build around it.