Evaluation & Optimization
Continuous feedback loops that improve quality and performance
Privacy-first enterprise AI
Make your enterprise AI Nativewithout giving up control
Hast helps enterprises connect private data, internal systems, and expert workflows into governed AI workflows. 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
Run AI agents in your own enterprise environment
Connect enterprise data and core systems so AI agents can carry out real work within controlled boundaries and build business knowledge over time.
100% Enterprise Controlled
- Enterprise Workspace
- Knowledge Hub
- Business Applications
Agents
- Custom Agents
- Hast Agents
- Third-Party Agents
Core Platform
Agent Execution
Models, tools, and orchestration for planning, action, and recovery
Business Context
Shared enterprise context across data, systems, policies, and workflows
Drive business outcomes across industries
From customer acquisition and professional work to organizational operations, go deep into diverse business processes and expand step by step from one proven workflow.
Growth and market
SEO / GEO
Turn user demand and search trends into an ongoing content, distribution, monitoring, and review workflow.
GTM acquisition
Connect market intelligence and CRM to identify target accounts and move qualified leads forward.
Customer service
Use customer and product context to diagnose issues, take permitted action, and close the loop.
Professional knowledge and production
Learning operations
Use course and learner context to support preparation, Q&A, feedback, and personalized learning.
Software engineering
Understand code and runtime context to advance planning, implementation, review, testing, and troubleshooting.
Investment research
Connect research and market data to track targets, identify risk, and produce traceable reports.
Organization and operations
Administrative operations
Handle policy questions, meeting preparation, records, and cross-team follow-up with less repetitive work.
Agent products
Package a dedicated enterprise Agent as a customer-ready product capability and service entry point.
System operations
Continuously observe systems and alerts to diagnose incidents, execute runbooks, and drive review.
Together with your team, build Agents that work
Hast's FDE team works directly with your team in real workflows, turning business needs into production systems and continuously improving Agents through co-building, validation, and feedback.
- Week 1
Define value
Choose one high-value workflow. Define its users, desired outcomes, success metrics, human owners, and permission boundaries.
- Week 2
Connect context
Map the relevant files, data, systems, business relationships, and expert knowledge. Define access and authorization.
- Weeks 3–4
Build the Agent
Design the Agent, its Skills, tools, and workflows. Validate quality and exception handling with real tasks.
- Week 5
Run a controlled trial
Run the Agent in real workflows within clear boundaries. Measure task quality, human collaboration, and business value.
- Week 6
Launch and expand
Improve the Agent using real-world results, establish ongoing operations, and expand to more workflows, roles, and teams.
Sustainable enterprise Agent capabilities
FAQ
Answers about privacy, deployment, models, and delivery.
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.
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, relationships, 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.
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