01
Your data is fragmented
Critical context lives across web and content analytics, CRM, learning platforms, code repositories, research systems, tickets, docs, and human experts
Privacy-first enterprise AI
Make your enterprise AI Native, without giving up control
Hast helps enterprises connect private data, internal systems, and expert workflows into governed AI agents. We combine a secure platform with Forward-Deployed Engineering (FDE) implementation so your AI projects move from prototype to production
Private/hybrid deployment
Ontology-backed memory
Governed agents + audit trails
FDE implementation
BYO model / agent / cloud
Your enterprise does not run on prompts alone
Codex, Claude Code, and modern assistants are excellent general-purpose tools. Enterprise transformation still requires structured context, governance, implementation, and operational depth
02
Your workflows are private
Regulated teams cannot paste sensitive data into public tools and expect governance to catch up
03
Your permissions matter
Enterprise AI must enforce who can see what, what requires approval, and how each action can be traced
04
Implementation is the hard part
Projects fail when they stop at demos. Hast FDEs help teams model, integrate, deploy, and operate real workflows
A private AI operating layer for your business
Hast turns enterprise knowledge into a living system AI can understand and act on: data sources, business objects, governed runtimes, workflow interfaces, and audit controls
Data Sources
Web / CRM / LMS / Git / Research / Tickets
Connected approved internal context and tools
Private, VPC, or hybrid deployment options
Ontology Layer
Enterprise Ontology Layer
Structured model of enterprise entities and relationships
Map ownership, states, and dependencies
Agent Runtime
Governed Agent Runtime
Permissions, approvals, and audit logs by default
Human-in-the-loop controls for critical actions
Workflow Apps
Operational Digital Twin
Live operating model of data, workflows, and status
Surface risk signals in one operating view
Governance & Audit
Governed Agent Runtime
Permissions, approvals, and audit logs by default
Approval gates for sensitive operations
AI workflows for the work your enterprise actually does
Eight high-value workflows share one governed runtime, keeping expert context and everyday execution traceable.
SEO / GEO
Analyze search performance, content gaps, and brand citations to produce verifiable optimization recommendations.
Education
Connect courses, assignments, and learning progress to provide personalized support for educators and learners.
Coding
Understand codebases, requirements, and engineering standards to assist development, testing, review, and delivery.
Fund Research
Integrate market data, research, and portfolio context for traceable investment research and risk analysis.
Administration
Handle policy questions, document preparation, approvals, and routine cross-team coordination.
Customer Service
Use product knowledge, customer history, and ticket context to deliver consistent, escalation-ready service.
Agent Client
Bring models, tools, and long-term memory to the desktop to help users complete cross-application tasks.
IT Operations
Unify alerts, logs, changes, and runbooks to support diagnosis, response, and incident review.
Simple pricing. Start free, grow with your community.
Personal
Personal workspace with Task Agent included.
Get started$20/month
- $20 API credits/mo
- Task Agent with memory, coding, and web search
- Custom agents and scheduled runs
- Access to every connector
- Built-in, custom, and open-source skills
Team
A shared Team workspace with per-seat billing.
Get started$20/month
- $20 API credits/mo
- Task Agent with memory, coding, and web search
- Custom agents and scheduled runs
- Access to every connector
- Built-in, custom, and open-source skills
- Seat management and credit requests
Enterprise
A custom AI workspace for complex operations and deep integrations.
Custom
- Connect internal knowledge sources in multiple ways so your agent truly understands your business context
- Enterprise-grade access control, auditability, and team-level governance
- Support multi-environment deployment, custom integrations, and optional private deployment
- Advisors, including engineers and domain experts, help solve complex challenges and guide deployment
Each plan includes monthly API credits. Bring your own key (BYOK) for full cost control.
FAQ
What is Hast?+
Hast is a privacy-first AI Native platform for enterprises. It connects internal data, systems, and workflows into governed AI agents and operational digital twins, delivered with FDE support.
How is Hast different from Codex or Claude Code?+
Codex and Claude Code are excellent general-purpose tools. Hast focuses on private deployment, internal systems integration, permission-aware workflows, ontology-backed context, and production rollout.
Does Hast replace our existing AI tools?+
Not necessarily. Hast works with models and agents your company already trusts, and adds the enterprise layer around them: context, permissions, workflows, integrations, and governance.
Can Hast run in our private environment?+
Yes. Hast supports private, VPC, and hybrid deployment patterns based on your requirements.
What is the ontology layer?+
The ontology layer is a structured model of business objects and relationships, such as content, leads, courses, repositories, customers, tickets, owners, and workflows, so AI can reason over enterprise context reliably.
What does digital twin mean in Hast?+
It is a live, AI-readable operational model that combines data, systems, workflows, status, risk, and decisions so teams can query, simulate, and act.
What can we expect from a 6-week pilot?+
A production-grade workflow, connected sources, focused ontology map, governance controls, measurable outcomes, and an expansion roadmap.
Who implements the workflow?+
Hast pairs the platform with forward-deployed engineers who work directly with your business and technical teams.
Does Hast support our existing models and agent frameworks?+
Yes. Hast supports existing model and agent stacks, including Hermes and private model deployments within governed enterprise controls.
Ready to build your first private AI workflow?
Start with one workflow, one team, and clear success metrics, and we will help you go from pilot to production