Enterprise
Agentic SaaS
We design and ship agent-native SaaS products from scratch — MCP-enabled, multi-agent, with enterprise memory layers, governance, and audit trails built in from day one.
The 2026 enterprise shift is real: Microsoft, Google, AWS, Cisco, and Meta have all committed to agent-native architectures. We build the products that run on this new stack — SaaS applications where agents don't assist users, they do the work. MCP protocol integration, agent-to-agent communication, semantic memory, and governance are foundational, not optional extras.
- →Agent-native SaaS built today will have a 2-3 year head start on competitors still shipping chat interfaces
- →MCP (Model Context Protocol) is becoming the standard for AI tool integration — building without it now means rework later
- →Enterprise memory layers (knowledge graphs, vector stores) are the real moat — models are commoditising, data context is not
- →Agent governance and audit trails are non-negotiable for enterprise sales — every agent action must be traceable and explainable
Full Model Context Protocol integration — your SaaS becomes a first-class citizen in the agent ecosystem.
Knowledge graphs, vector stores, and conversation memory that persist across sessions and agents.
Structured inter-agent communication protocols for complex multi-step workflow automation.
Every agent action logged, explainable, and reversible. Compliance-ready from the start.
Native connectors to Salesforce, HubSpot, Slack, Jira, and enterprise data sources via MCP.
Configurable approval workflows — agents operate autonomously within defined boundaries, escalate beyond them.
Agent-Native Interfaces
Visualizing complex multi-agent workflows and enterprise memory layers.
Multi-Agent Workflow UI
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