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?
The answer already exists. Your agent just can’t see it.
It’s in a thread from March, a line item in QuickBooks, a doc nobody linked. Gyld indexes what you choose into one company brain and hands it to your agent the moment it asks.
“Why did we go with Everpure over Kestrel?”
I don’t have anything on Everpure or Kestrel. If you paste the evaluation doc and the thread where it was decided, I can summarize the trade-offs for you.
“Why did we go with Everpure over Kestrel?”
Price came within 4%, so it turned on support: Kestrel wouldn’t commit to the four-hour SLA. Dana made the call in the March 12 review. The EU data-residency risk you raised there is still open.
Every answer carries its source
The thread, record or file it came from, attached to the claim. You can check it without leaving the answer.
You stop pasting context into prompts
No dumping the thread, the doc and the CSV export into the chat before you can ask anything. The agent goes and gets what it needs.
It holds the why, not just the file
Decisions, who agreed to what, what got promised and when. Mined out of mail and chat, where those things actually get settled.
Connect once and every agent has it
Claude, ChatGPT, Cursor and Codex read the same brain through one URL. Nothing to fine-tune, no retrieval pipeline of your own to maintain, and it stays current as new mail, deals and invoices land.
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.
Everything your company knows, in one place your agents can reach.
Indexed as the work happens, permissioned the way the source was, and available to any agent you point at it.
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.
Your agents work ahead of you
They scan overnight and the work is waiting: replies you owe, commitments coming due, money that looks off. Each one arrives 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.
The work finds you.
Gyld reads what came in overnight and brings back only what needs a person — with the evidence behind it and the reply already written.
Halverson asked for the revised order form four days ago.
Two follow-ups since, nothing back from our side.
You told Everpure you’d confirm the four-hour SLA by Friday.
Said in the March 12 review. Nothing sent since.
Invoice 2214 is twelve days overdue, $4,200.
Their last two payments slipped as well, and the AP contact changed in March.
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.
What Gyld is, in plain terms.
Open a question to see the answer.
What does Gyld actually do?
It indexes the apps you already work in (mail, chat, docs, CRM, invoices) into one company brain, then serves that brain to your AI tools over a single MCP URL. Ask what you promised Acme and the answer comes back from the real thread, with the source attached.
What is a company brain?
A company brain is one searchable store of what your business knows: your threads, files and records, plus the decisions and commitments buried in them. You choose what goes into it.
What is a business context layer for AI?
A business context layer sits between your company systems and your AI tools. It keeps your data current and permissioned, and exposes it over the Model Context Protocol so any agent can read it.
Which apps can I connect?
Gmail, Outlook, Slack, Notion, Drive, OneDrive, Dropbox, HubSpot, Salesforce, QuickBooks, Stripe, Shopify, GitHub and around thirty more, plus a read-only line to your own database. You pick the accounts, channels, folders and tables that feed the brain.
Which AI tools can use it?
Anything that speaks the Model Context Protocol: Claude, Claude Code, ChatGPT, Cursor, Codex, Gemini. One URL, added once, and they all read the same brain.
Who on my team can see what?
The brain mirrors the permissions of the source, so a private channel or a restricted folder stays restricted to the people who already had it. Anything Gyld cannot confirm your access to is not returned.
Do you train on my data?
No. Your data is never sold and never used to train generalized models. Tokens are encrypted at rest with AES-256-GCM, and workspace isolation is checked on every query.
Can I just build this myself?
You can put a RAG pipeline together in-house, and it will retrieve fragments. Gyld permanently owns the connectors, the indexing, the freshness and the permission model, so your team wires agents to the brain instead of maintaining ETL forever.
How long does setup take?
A couple of minutes to connect the first app, and indexing starts immediately. Nothing is migrated: Gyld reads through OAuth with the minimum scopes for what you chose to index, and your tools stay where they are.
Something we didn’t cover? Ask it on the demo.
It takes minutes to set up.
Connect Gmail or Slack, watch the brain fill in, then ask what you promised Acme. The answer comes back with the thread attached.