Hive is Object Edge's organizational intelligence platform. It connects fragmented enterprise data into a living knowledge graph, reasons across that graph, and powers the agents, workflows, and decision surfaces that actually change how the business operates. Sayya is the conversational agent that operates on top of Hive's knowledge graph. It does not generate generic answers from the public internet. It reasons over your organization's real data, remembers what it learns, takes accountable action, and gets more useful over time.
AI can't work cleanly on top of scattered context. Every enterprise accumulates the same hidden architecture problem. Institutional knowledge ends up spread across CRM, ERP, ticketing, wikis, shared drives, calendar history, and the heads of the people who know how everything actually fits together.
When someone needs an answer, they open tabs, ping colleagues, search inboxes, and stitch the situation back together by hand. That is why decisions lag and why many AI programs stall before they become useful.
You cannot automate what the organization cannot query coherently.
Hive solves that at the architecture level. Not by adding one more system of record. By creating a semantic layer that understands your entities, your decisions, and the relationships between them in real time.
The problem with most AI assistants is not the interface. It is the lack of grounded context.
Most chat tools are impressive until the work becomes specific. They do not know your organization, they forget between sessions, and they stop at text generation.
Sayya is built for the opposite environment: one where answers need context, workflows need memory, and actions need control.
Highlights
Why teams buy Hive Decision substrate: Unify the history, ownership, dependencies, and trade-offs behind a decision before anyone has to reconstruct it manually. AI foundation; Give agents and automations a grounded way to query the business so projects stop failing at the knowledge layer. Operational memory; Keep what the company has learned attached to the entities and workflows that need it instead of losing it in inboxes and turnover.
Why teams buy Sayya Conversation surface: Let operators, executives, and frontline teams work through natural language without forcing them to navigate every underlying system. Learning loop; Preserve user-specific preferences, corrections, and playbooks so the assistant compounds instead of resetting every session. Action path; Move from insight to execution with auditable write-back into CRM, calendars, tasks, documents, and monitored workflows.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Hive offers two ways to pay for the company brain, a semantic layer over the systems you already run. Host Pricing charges per host, where each host supports up to 10 users, a maximum of 20 connections, and about 30,000 entities. Users Pricing charges per user, applying the same rate to every user in your organization. Choose Host Pricing when your usage fits within the per-host limits on users, connections, and entities. Choose Users Pricing when you scale by headcount instead. Both bill under a contract term.
Top-of-mind questions for buyers
What counts as one host under Host Pricing, and what are its limits?
One host is a single instance of the company brain. Each host supports up to 10 users, a maximum of 20 connections to your source systems, and about 30,000 entities. If your usage stays within these caps, one host covers the workload. Exceeding any cap means adding another host.
How does per-host billing differ from per-user billing when deciding which to choose?
Host Pricing bills a flat rate per host, bundling up to 10 users, 20 connections, and roughly 30,000 entities into one charge. Users Pricing bills the same rate for every user in your organization, scaling directly with headcount. Host Pricing suits capped, contained workloads; Users Pricing suits organization-wide rollouts.
What is included when the company brain deploys, regardless of which pricing option I pick?
Both options provide the semantic layer over the systems you already run, built as a knowledge graph on your own vocabulary. It deploys inside your own cloud, with role-based access enforced at the query. Every answer carries its source, and each action leaves an audit trail.
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