The Context House
A continuously updated knowledge graph that mirrors how your business runs. One source of truth across every app, refreshed before it can rot.
Refreshed every 30, 14 or 7 days, or continuously on Enterprise.
AI agents you can trust to act.
Dactic maps your systems and the judgment in your team's heads into one living knowledge graph. Every agent works from it.
Pick an agent to see what it knows
Google DrivePricing SOP
monday.comAccounts board
Slack#harbor-renewal
GmailClient threads
Finance leadInterview
Ops leadInterview
Sales leadInterview
Proposal reviewerSample workspaceTrusted
Accounts over 3 years: renewal uplift caps at 5%, rush fee waived.
From an interview with the Finance lead, Oct 2. Held a $44,010 quote and corrected it to $41,580.
The last 20% is the job.
Off-the-shelf agents get roughly 80% of the way. The rest is judgment nobody wrote down.
The exception for a long-standing client. The shortcut finance approved last spring. Without it, every output needs checking, and your team ends up with a second job.
Dactic finds those gaps in your graph, fills them through short interviews, and keeps them current.
Renewal cap for 3+ year accountsRush fee waiverCall before escalating
From your work to a trusted agent
A short onboarding builds your graph, fills its gaps and ships your first agents. No engineering team, no six-month study.
Connect
Link the tools you already run: Google Workspace, monday.com, Slack, etc. Nothing moves.
Map
Dactic traces how work really flows and flags the exceptions no SOP mentions.
Interview
About 10 minutes per role turns judgment calls into rules your agents can use.
Deploy
Approve, then go live in one click. Context refreshes on schedule.
See it in 90 seconds
The explainer walks through one workflow, from connected sources to a deployed agent.
Book a DemoOne graph. Two things it runs.
The Context House keeps your knowledge current. The Agent Factory turns it into agents built for each role.
The Agent Factory
Specialized agents for each role, team and task, each grounded in evidence from your graph and approved by an admin before it goes live.
Proposal reviewer Live
Client onboarding Live
Lead triage Awaiting approval
Built to be trusted
Every agent gets only the context its task needs, kept current, in a format you own. Try it.
Refresh cadence
Re-grounds every live agent. Growth plan.
Strips signatures, boilerplate and formatting before they cost you tokens.
Agents see what their task needs. Personal data is redacted before indexing.
Deliver to
Onboarding boardOps playbookInterview: Ops leadEmail signaturesBoilerplatePayroll recordsAccess checklistHR notes
Client onboardingDelivered to monday.com
9,640Tokens per run (example)
4Context nodes in scope
Nov 4Next refresh
Ask your context
Sample workspaceRush jobs ship within 48 hours at +15%, waived for accounts older than 3 years.
Ops playbookInterview: Ops leadConfirmed Sep 30
Try another
Runs where you already work
Dactic reads your files where they live and delivers context to the agents you already use, in an open format you can take anywhere.
Integrations and partners shown, not customers. Microsoft 365 and more are on the roadmap.
Partner, deploy agents
Deploy agents
Connected source
Gmail, Drive, Calendar
Amazon Bedrock, no training on your data
Built by Valere, Boston- Partner, deploy agents
- Deploy agents
- Connected source
- Gmail, Drive, Calendar
- Amazon Bedrock, no training on your data
- Built by Valere, Boston
Simple plans, per team
$2,250/ month
- 50 employees under management
- 120 agents included
- 14-day refresh cadence
- 2 on-demand refreshes / quarter
Founding Customer pricing: up to 60% off for the first 10 teams, closes Dec 19
Questions, answered
All 40 answersWhat is Dactic?
Dactic is a context layer for AI agents. It combines your company's data (CRM, project boards, documents, email) with the unwritten know-how of the people who do the work. It then deploys agents that do the work the way your best people already do it. Dactic is a Valere company.
How is Dactic different from standard RAG?
RAG (retrieval-augmented generation) pulls chunks of text out of documents. Dactic builds a knowledge graph that covers both your documents and your team's unwritten context. It filters out noise, learns your company's own terminology, and flags where sources contradict each other. Each agent gets only the context it needs for its task.
Which tools does Dactic connect to?
Dactic connects to Google Workspace (Gmail, Drive, Calendar, Chat), monday.com and Slack. It reads your files where they already live, so you don't need to move anything into new storage. Enterprise plans can add custom integrations.
Is our data used to train AI models?
No. Dactic never uses your content, interviews or knowledge base to train any public or shared AI model. Our model providers (Amazon Bedrock and Anthropic) process your data only to produce results for you, under contracts that prohibit training on it.
How much does Dactic cost?
There are four plans, each with a simple monthly subscription:
- Launch: $750/month (10 employees, 25 agents)
- Growth: $2,250/month (50 employees, 120 agents)
- Pro: $6,450/month (150 employees, 360 agents)
- Enterprise: custom pricing for more than 150 employees
How long does it take to see results?
Your first live agents launch during onboarding, not a quarter later. The initial data sync usually takes minutes.
See your first agent on your own work.
A 30-minute working session with a solutions engineer. Bring one workflow; leave with a plan for the agent that runs it.
- A working session, not a slide deck
- Your data is never used to train models
- First agents go live during onboarding