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AI Agent · Automation

Automate the work between your tools.

A visual builder where AI is a first-class step, not a bolted-on afterthought. Wire triggers, logic, your APIs and LLM reasoning into workflows that run reliably, and self-host it, so even your most data-sensitive processes stay in-house.

100+integrations · native AI nodes · self-hosted · timeline agreed after discovery

Ask for the current demo and a written list of built features and scoped additions. White-label uses a non-exclusive license on your infrastructure; Matrytech retains reusable base IP.

100+Pre-built integrations
NativeAI & LLM nodes
Self-hostedYour infrastructure
VisualBuilder, no-code nodes
What it does

Drag, drop, and let AI reason.

Everything Zapier does, plus AI steps that actually understand content, and a deployment model your security team signs off on.

01

Visual builder

Compose workflows on a canvas, triggers, steps and branches, no code required, with code when you want it.

  • No-code canvas
  • Code steps when needed
  • Versioning & rollback
02

Native AI nodes

Drop LLM steps into any flow: classify, extract, summarise, draft, decide, grounded in your data.

  • Classify · extract · draft
  • RAG over your data
  • Model-agnostic
03

Conditional logic

Branches, loops, filters and error handling so real business processes run reliably, not just happy paths.

  • Branch · loop · filter
  • Retries & error paths
  • Scheduling & queues
04

Human approval steps

Insert a human checkpoint anywhere, approvals, edits, exceptions, with notifications and SLAs.

  • Approval & review gates
  • Slack / email / in-app
  • SLA tracking
05

100+ integrations

Connect the tools you already run, plus any REST API, no waiting on a vendor to build a connector.

  • CRM · ERP · comms · DB
  • Any REST / GraphQL API
  • Webhooks in & out
06

Observability

See every run, every step, every payload, with logs, metrics and alerts on failures.

  • Run history & replays
  • Step-level logs
  • Failure alerts
How it works

The architecture, end to end.

A trigger fires, the workflow engine runs your steps, logic, integrations and AI nodes, with human approvals where needed, all on infrastructure you control, with full observability.

Self-hosted in your cloud or on-prem · data never leaves your network · Security and privacy controls scoped before launch

Connects to

Plugs into the stack you already run.

Connects the stack you run today, and anything with an API tomorrow.

Salesforce
HubSpot
Slack
Gmail
Jira
SAP
Postgres
Snowflake
Stripe
Twilio
S3
GPT-4o
Claude
Webhooks
REST API
On-prem
Deployment

From first flow to automated on a scoped timeline.

We stand up the platform in your environment and build your first high-value workflows with your team.

01

Discovery

We map the processes worth automating, the systems involved and your deployment and security needs.

02

Deploy

We self-host the platform in your cloud or on-prem, connect your tools, and build the first workflows.

03

Build & test

We add AI nodes, approval steps and error handling, and test against real events end to end.

04

Go live & enable

Rollout with observability, plus training so your team can build new workflows themselves.

Enterprise-grade

Automation your security team approves.

Most automation tools are SaaS black boxes your data can't go near. This one runs where you say.

01 · Self-hosted by default

Your data never leaves your network.

Deploy the entire platform in your cloud or on-prem. No customer data flows through a third-party SaaS, which is exactly why regulated and data-sensitive teams can finally automate the processes they couldn't before.

02 · AI as a first-class step

Not a bolted-on afterthought.

LLM reasoning is a native node you can drop anywhere, grounded in your data with guardrails and human approval, so workflows can make judgement calls, not just move data between boxes.

Frequently asked

The questions platform & data teams ask first.

Something missing? Email Prakash directly, same-day replies, no SDR layer.

How is this different from Zapier or Make?
Two things: AI is a native step (classify, extract, summarise, decide, grounded in your data), and you can self-host the entire platform so no customer data flows through a third-party SaaS. That combination is what regulated teams need and generic tools can't offer.
Do we really host it ourselves?
Yes, the whole platform deploys in your cloud or on-prem, so data never leaves your network. That's the point: teams in finance, healthcare and government can automate processes they couldn't touch with SaaS tools.
Is it truly no-code?
The canvas is no-code for the common case, with optional code steps when you need custom logic. Non-engineers build and own workflows; engineers extend them.
Can workflows include human approvals?
Yes. Drop an approval or review step anywhere, with Slack, email or in-app notifications and SLA tracking, so automation handles the routine and humans handle the exceptions.
How many integrations are there?
100+ pre-built connectors for CRM, ERP, comms, databases and payments, plus any REST or GraphQL API and inbound/outbound webhooks, so you're never blocked waiting on a vendor.
How long to deploy and how is it priced?
Deployment timing depends on your infrastructure, workflows and integrations. We agree the timeline after discovery and build a working pilot before rollout. Pricing is a fixed setup fee plus a flat self-hosted platform fee, no per-task metering that punishes you for automating more.
See it automate a real process

Book a live demo Bring a process you hate doing.

A 30-minute session with Prakash or a senior AI engineer, never an SDR. Describe a manual process and we'll build it live as an AI workflow in your stack.

Book a live demo →
Founder will reply personallyPrakash Singh · Matrytech

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