Gyld connects knowledge, systems, and context so AI can actually work.
Gyld indexes the data you already work with — email, chat, docs, CRM, invoices — into one company brain, then serves it to Claude, ChatGPT, and Cursor. Answers come from real deals, threads, and numbers.
What did we agree with Halverson on pricing?
A brain for any kind of work.
Ask in plain language. Every answer is grounded in your company's own threads, records, and numbers — and says where it came from.
“What did we quote Acme, and what terms did they push back on?”
Pulled from the real thread — 12% above 5,000 units, net-45, locked through Q1.
“Which invoices are overdue, and who owes us the most?”
Answered live from QuickBooks, Stripe, or your own database — read-only.
“Has anyone else hit this error before?”
Finds the past thread, who fixed it, and what they said — with the source cited.
“What did we promise this week, and what slipped?”
Commitments and follow-ups mined from mail and chat, owner by owner.
“Why did we pick this vendor over the other one?”
The decision, the doc it lives in, and the trade-offs discussed at the time.
“Summarize everything we know about this customer.”
One profile assembled from mail, files, CRM records, and meetings.
Not a chatbot. An operating layer.
Gyld is the business context layer for AI — the knowledge, the tools, and the proactive work, behind every agent you run.
Every source, one brain
Gmail, Outlook, Slack, Notion, Drive, HubSpot, Salesforce, QuickBooks, Stripe, Shopify, and 30+ more — you choose what gets indexed, per account.
+30 moreOne MCP URL for any agent
Add your brain to Claude, ChatGPT, Cursor, or Codex in a minute. Agents search, ask, and act with real company context.
Donnie works ahead of you
Your proactive teammate scans overnight: replies you owe, commitments coming due, money that looks off — each with a drafted next step, one click from done.
Talk to your database
Plain-English questions against Postgres, MySQL, SQL Server, Snowflake, MongoDB, and more. Read-only, schema-aware, safe by construction.
Memory that learns
The brain consolidates what matters, decays what doesn’t, and gets sharper from every question your team asks.
Follow-ups that close themselves
Reply from your own inbox and the task completes itself. Dismiss something and it stays gone — until real new data brings it back.
Permissioning, built in.
A shared brain is only useful if it can keep a secret. Gyld enforces who sees what at every layer.
Source permissions come along
A private Slack channel or a restricted Drive folder stays restricted in the brain. Pages inherit who could see them at the source — fail closed.
Personal stays personal
Each member’s tasks, inbox items, and drafts are theirs alone. Nobody gets a teammate’s work surfaced as their own.
Workspaces are walls
Every workspace is its own brain with its own connections, members, and grants. Access is checked on every request, not at sync time.
Your data stays yours.
OAuth tokens are encrypted at rest with AES-256-GCM. Workspace isolation is enforced in the application layer on every query. Your data is never sold and never used to train generalized models.
Tokens encrypted at rest
Checked on every query
Your data stays out of models
Only what you index
Three steps. No migration.
Connect your data
Native OAuth to the apps that hold your data, plus a read-only line to your database. Pick the accounts, channels, folders, and tables that should feed the brain.
Gyld builds the brain
Everything is indexed into pages, memories, contacts, and commitments — deduplicated, permission-aware, kept fresh on a schedule.
Every agent gets smarter
Add one MCP URL to your agents, chat with Donnie, and wake up to a digest of what needs you.
It takes minutes to set up. Seriously.
Connect an app, watch the brain fill in, and ask it something only your company would know.