AI Automation
for the Modern Enterprise
Create, connect, and deploy intelligent agents that automate your workflows —
with full control over data and logic
Create, connect, and deploy intelligent agents that automate your workflows —
with full control over data and logic
Rooted in Semantic Web foundations and Agentic AI principles, Milkyweb gives you every essential block — from RAG and memory to tools and orchestration — to create agents that reason, adapt, and act with purpose.
Our mission is to bridge the gap between the ambiguity of human communication and the determinism of software logic.
Milkyweb reduces uncertainty between how people express intent and how digital systems execute it — turning natural dialogue into structured, reliable, and secure behavior.
🚩 Your tools don’t talk to each other
$1,000+ in SaaS costs and still manual steps
🔰 Milkyweb connects and automates your tools
🚩 Your company runs unique processes
Off-the-shelf apps can’t capture the workflow logic
🪀 Our visual builder adapts to any workflow
🚩 Repetitive decisions take much time
Staff repeating “if this, then that” daily
🔋 Context-aware automation handles it automatically
🚩 Limited tech team
No devs to build or maintain scripts
🧩 Low-code + built-in AI logic do the heavy lifting
Traditional software takes months of planning, coding, and integration.
Milkyweb cuts that to days — by Low-code Applications Builder and advanced AI development approaches.
Smart features designed for any scale project
Milkyweb agents don’t just follow scripts — they adapt. Explain conditions in plain language - the agent identifies the appropriate setting and intervenes at the exact time.
On request, provide agents the capability to perform safe, context-aware code.
Essentially, this can be achieved via low-code wiring and production controls where agents can:
- internally call APIs or serverless functions
- send live data
- receive the output into workflows or chat.
Display, edit, and collect structured data directly inside your agents.
Connect your agent anywhere your users are.
Track key triggers effortlessly with simple, flexible event setup.
Keep users instantly informed about updates that matter to their role.
Define clear, role-based permissions for both users and agents.
Maintain oversight by deciding when agents act and when humans step in.
Every piece of data, every event, entity or chat message
— unified in a semantic graph.
This enables effortless access to context and memory across your AI agents.
Unlike vector databases that only retrieve data, a semantic graph lets the agent store and organize knowledge in a structured, queryable format.
Instead of stuffing the prompt window with raw transcripts, the agent works with entities, relationships, and facts, enabling cleaner logic and more intelligent decisions.
Graphs make it easy to prioritize, filter, and reuse relevant knowledge dynamically — leading to better task grounding and fewer context collisions.
Structured context means less clutter: the agent sends only the relevant nodes into the prompt, not entire conversations — cutting token usage significantly.
By reasoning over structured data — not guessing from raw text — the agent stays grounded in truth and avoids making things up.
Inject AI into any process of your company — from dispatching to reporting — using forms, sheets, chat, and mobile interfaces
Run Milkyweb in the cloud or on your own servers for full data control and compliance.
Seamlessly connect to private APIs, databases, and internal tools.
Milkyweb adapts — visually customize forms, data views, and automations without writing complex code.
From design to deployment, our team helps you plan, build, and maintain your AI automation — with ongoing optimization and enterprise-grade support.
Each enterprise account includes a dedicated engineer who builds and supports your automations — from first setup to scaling.
Agents that understand user intent, retain context, and automate complex workflows through natural language conversations.
Customizable systems to manage relationships, operations, or resources — powered by a graph backend that adapts to your business logic.
From onboarding workflows to approval pipelines — rapidly build tools that respond to events, track state, and coordinate tasks.
Conversational bots that answer questions, resolve issues, or triage requests — with structured memory and dynamic logic behind the scenes.
Interactive views built directly from graph data — giving teams a way to manage entities, view system states, and analyze performance.
Milkyweb’s architecture supports a wide range of applications — if your use case involves structured data, logic, or user interaction, it can likely be built here.
Let’s talk about your use case ↓
