01
Read the organisation
Point IntygrAI at repositories, legacy code, wikis, design documents, API specifications, standards and incident history. It reads them together and builds a model of the estate — not a folder of documents.
Live demoTry it right here — no signup
Build enterprise integrations with plain English.
IntygrAI reads the estate you inherited and the standards you already wrote — then builds the integration you describe, on a canvas you can drag or talk to, and tells you exactly why it built it that way.
Governed by your own standards
Every decision traceable
No middleware layer
Try a prompt — watch it build
NetSuite → Oracle Fusion · Sync New Customers
Reading estate & standards…
Deployed · live in production
Trigger
Source
Transform
Router
Target
Error
Drag to edit · or talk to the canvas
Success rate · 24h
99.4%
Median latency
840ms
Records processed
18.2k
Run #4471 failed at node “Oracle Fusion · Create Customer”
Resolved
Failure nodeOracle Fusion connector ·
POST /customersRoot causeMalformed OData filter — the
lastModified predicate was passed unencoded, so the upstream query returned the full table and the request exceeded the payload limit.EvidenceTrace span 3 of 7 · request body 4.2 MB against a 2 MB ceiling · same signature seen in run #3980
Blast radiusOne downstream flow affected — ServiceNow ticket creation queued, not lost
Suggested fix — applied
URL-encode the filter predicate and page the query at one thousand records. A retry plan for the twelve queued records was generated and executed successfully.
Connects the systems your enterprise already runs on
How it works
From a sentence to something
From a sentence to something
you can actually ship.
Five steps, one environment. Nothing is handed to a second tool, and nothing generated is a black box you have to accept whole or throw away.
02
Describe what you need
Type it in plain English, paste a repository URL, or start from a governed pattern. The sentence is the specification — no ticket, no template, no translation layer.
03
Watch the flow assemble
Triggers, sources, transforms, routers, targets and utilities placed in semantic order — with branching, retries and error paths as first-class citizens rather than afterthoughts.
04
Drag it, or talk to it
Move a node, rewire a connection, swap an endpoint. Or say “point the target at the sandbox” and the change lands on the canvas in place — no regeneration, no losing the work already done.
05
Ship it, and watch it run
Schedule it, trigger it on an event, or scale it into batch. Execution is observable end to end, and when something fails the platform reasons about why — with the runbook already written.
The category
Not another iPaaS.
Not another iPaaS.
This is IntegrationOS.
An iPaaS gives you somewhere to build pipes. An IntegrationOS gives every integration a memory of itself, a model of what it touches, the procedures to run it and the rules it cannot break.
IntegrationOS™
/ˌɪn.tɪˈɡreɪ.ʃən ˌoʊ.ˈɛs/noun
coined by IntygrAI
1. The operating layer beneath an enterprise's integrations — the memory of what was built, the model of what it touches, the procedures that run it and the rules it cannot break.
2. Not a place to build pipes. The system that knows what the pipes mean.
“We stopped buying middleware and put an IntegrationOS underneath the estate.”
What an IntegrationOS holds
Memoryevery run, change and decision, retained
Modelthe estate as a queryable graph
Meaningfield-level mapping between systems
Procedurerunbooks written from the integration
Rulesguardrails inherited at design time
The AI integration builder
An analysis agent reads real source and specifications to extract systems, trigger types and connector roles. A builder agent then orders nodes by semantic type — triggers, sources, transforms, routers, targets, utilities — which removes the non-determinism that makes most generated flows unusable, and produces richer graphs for genuinely hard patterns like broadcast, aggregation and pipeline.
Live build · Broadcast pattern
Schedule
→
Salesforce
→
Mapper
→
Oracle Fusion
SAP S/4HANA
ServiceNow
Knowledge graph
Applications, flows, data objects, standards and infrastructure held as one connected model — so dependency, blast radius, criticality and “which pattern applies here” become queries instead of workshops.
Queryable estateSchema mapper
Point it at a source and a target and it proposes the field mapping, handles type coercion, and flags the ambiguous fields for a human rather than guessing quietly.
Confidence per fieldObservability that answers
What broke and why, what is working, what is business-critical, and the dependency path from business process down to the queue, the database and the host.
Traces & run historyGuardrails & runbooks
Policy applied at design time, inherited rather than enforced after the fact — and the operating procedure generated from the integration itself, so knowledge lands with the team.
Governed by constructionScheduling & batch
Cron, interval, one-time and event triggers, a webhook receiver, and a high-volume batch engine with fault-isolated per-record handling. No external scheduler to run.
Cron · interval · eventEnterprise connectivity
ERP and finance, CRM and service, people and work, data, files and messaging — and every connected system arrives with its own mappings, objects and known failure modes.
No middleware layerIntelligence
Purposeful agents,
Purposeful agents,
prebuilt for the work.
Each agent has a job, a grounding and a boundary — and reads the same graphs the runtime executes. That is why the output is usable rather than merely plausible.
Discovery
Reads repositories, legacy code and specifications and returns what the organisation lost — the specification, the flow, the pattern in use and an honest view of complexity and risk.
Builder
Turns a described outcome into a working flow, assembled live from governed patterns with deterministic node ordering rather than improvised node by node.
Schema mapper
Semantic field mapping between any two schemas, using type-aware coercion and the mapping patterns your estate already uses — with a confidence score on every field.
Root cause
Investigates a failed run the way an engineer would — reading the trace, isolating the failing node, classifying the error and returning a remediation plan you can act on.
Runbook
Writes the operating procedure from the integration itself, so knowledge lands with the team instead of with whoever happened to build it.
Observer
Watches every execution and surfaces what broke, what is working, what is critical and whether this has happened before.
Explainability
And it tells you
And it tells you
why it built it that way.
Every design decision traces back to your organisation's own standard — not to a model's opinion. That is the difference between a generator an enterprise can adopt and one it can only admire.
Scatter-gather, not sequential calls
because your standard for multi-system enrichment under a latency budget calls for it
Architecture decision record · Integration Patterns
Retry with backoff and a dead-letter queue
because it is the platform resilience standard your other flows already inherit
Engineering standards wiki · Resilience
The existing SAP connector, not a new one
because three flows in this domain already bind to it with the same contract
Knowledge graph · Estate
Mapping drawn from the canonical order object
because that is the object your design documents define as authoritative for orders
Functional design document · Order-to-Cash
An architect can review the reasoning before reviewing the flow — which is what makes the speed safe to accept.
Refine
Then change it by dragging it,
Then change it by dragging it,
or by talking to it.
Generation without correction is a demo. The flow lands on a canvas that stays fully editable, so nothing generated is ever something you have to accept whole or throw away — and the engineer stays in control of the outcome, not just the prompt.
Drag it
Move a node, rewire a connection, swap an endpoint, open any node and configure it. The canvas behaves exactly as a designer would expect, because it is the same canvas anyone would build on by hand.
Talk to it
Point the target at the sandbox endpoint.
Add a dead-letter queue after the SAP call. The change lands on the canvas in place — no
regeneration, no losing the work already done.
Every correction teaches
What your engineers change, and what they leave alone, feeds back into the patterns the platform reaches for next time. The estate you understand keeps compounding.
The shift
Hours, not weeks — because of
Hours, not weeks — because of
the governance, not despite it.
Speed and compliance normally trade against each other. Here the standards are what the platform builds from, so the fastest path and the approved path are the same path.
Today
The cold start
- Read the wikis, the design documents and three similar repositories
- Find the approved pattern, or ask the architect who remembers it
- Build it, then discover the standard you missed in review
- Rework, re-review, and finally ship — weeks after the request
With IntygrAI
The same day
- The context is already read, graphed and queryable before you start
- The approved pattern is what the platform reaches for by default
- The rationale arrives with the flow, so review is minutes not rounds
- Edit on the canvas and ship — the same day the request arrived
The first integration a new joiner ships is built to the standard of the last one your principal architect built.
Design partner programme
Build the platform
Build the platform
with us, not after us.
We are working with a small number of enterprise integration teams while the platform matures. Design partners shape the roadmap directly — and get the estate modelled before anyone else.
Direct line to the roadmapYour patterns, connectors and governance requirements go in first.
Your estate, modelled with youWe run discovery across your repositories, standards and documentation together.
Private by defaultYour code, standards and estate model stay yours. Deployment options include your own VPC.
Preferential termsDesign partner pricing held for the life of the engagement.
PricingBuild more integrations.
Build more integrations.
Not more middleware.
Flow-based pricing that grows with the estate — no per-seat surprises and no middleware licensing underneath it.
Starter
For teams beginning to automate integration with AI assistance.
$199/ month
Up to twenty-five active flows
- AI integration builder
- Visual canvas designer
- Five ERP / SaaS connectors
- Scheduling & run history
- Standard support
- Schema mapper agent
- Root cause agent
Professional
The full platform for integration teams operating at scale.
$599/ month
Up to one hundred and fifty active flows
- Everything in Starter
- Repository import & discovery
- All enterprise connectors
- Schema mapper agent
- Root cause agent
- Full observability & traces
- Priority support with SLA
Enterprise
Private deployment and dedicated support for large integration estates.
Custom
Unlimited flows · custom SLA
- Everything in Professional
- Private model deployment
- On-premise or VPC option
- Custom connector development
- Governance & audit suite
- Dedicated customer success
The IntegrationOS for the enterprise
The estate stops being folklore
The estate stops being folklore
and starts being infrastructure.
Describe what you need. Watch it built, governed and explained. Then drag it, talk to it, and ship it.
Early access — no card required
Your estate model stays yours
VPC deployment available