Intelligence engineering
Innovatily helps enterprises connect scattered data, business rules, workflows and legacy systems into one governed operating model. Then we build the applications, intelligence layers and automations that run on it.
No black-box platform. No permanent vendor dependency. Your stack, your model, your team in control.
Every enterprise starts here.
Scattered
Data exists everywhere. Nobody agrees what it means.
Governed
One model. Common definitions. Explainable decisions.
Sovereign
Your team owns the system. Your team runs it.
We build the layer that gets you there.
The Mantle.
01
Evidence
750+
Businesses running on a single platform we built — RYNO
1,100+
Dealers under one system of record — Hyundai AutoEver
900+
Metrics tracked live, every day — RYNO
02
Where we help
CXOs rarely wake up asking for a “semantic layer” or an “AI-ready operating model.” They ask why the numbers disagree, why automation keeps breaking, why AI pilots do not reach production, or why every change still depends on the original vendor.
Find exceptions, bottlenecks and performance gaps before they become problems.
Explore →Ask questions across the business and get answers grounded in governed data.
Explore →Create one trusted operating model across systems, teams and sources — without ripping out the stack you already run.
Explore →03
The standard
Many technology projects launch while the client remains dependent on the original builders for every meaningful change. We design against that from day one. Our standard is the Handover Test: ninety days after we leave, can your team run, change and explain the system?
Most companies start with scattered systems and conflicting truths. The goal is a governed model your team owns.
04
The category
Before a company can trust dashboards, automate decisions, or use AI safely, it needs a reliable model of how the operation actually works: the entities, relationships, rules, events and exceptions that sit underneath the visible software.
We call that model the Mantle. The name is ours, but the problem is familiar: if the business cannot agree what a customer, dealer, outlet, order, candidate, asset, rule or metric means, every system downstream inherits the confusion.
Crust
Data, rules and workflows live in dealer feeds, store systems, partner CSVs, inboxes and legacy applications. Technically present, functionally hard to trust.
No Mantle underneath
Mantle
One operating model. Metrics, rules and decisions can be explained because they resolve against shared definitions instead of local interpretations.
The Mantle, built
Core
The model is built, documented and run by your own team. We remain available, but the system does not require us in order to keep moving.
The Mantle, owned
The named method matters only if the business outcome is clear: one model your team can trust and operate.
05
Platform
Strata is our reference architecture for turning scattered operational data into governed, explainable systems: ingestion, entity resolution, event detection, decision rules and the interfaces people actually use. It gives each engagement a proven starting point without forcing you onto a proprietary platform.
It comes with the engagement. It is not a separate licence, and there is nothing proprietary left running inside your systems after handover.
Every client gets visibility into commitments, progress, decisions and documentation as the work happens. We call that Seismograph, but the plain version is simple: you should not need a polished status deck to know whether the engagement is healthy.
06
Best work
We are strongest when the problem crosses data, software, rules and operational ownership — the places where a pure platform, staffing model, or dashboard project usually leaves gaps.
Forge
You run dealers, stores, franchises or field teams. Your data is generated by people who don't work for you, in formats nobody agreed on. The work starts by modelling the objects the business actually runs on.
Hyundai AutoEver — 1,100+ dealers
MOBOTIX — 3+ years in production
FMCG retail execution — 6,000 stores
Build
You serve hundreds of your own customers and need multi-tenant architecture with an intelligence layer built once, correctly, because rebuilding it under load is not an option available to you.
RYNO — 750+ tenants, 900+ live metrics
EY — 30+ parameter matching engine
Scalekrut — graph-based skill taxonomy
Own
You have been burned before and would rather not repeat it. We put the Handover Test on the table before you ask for it, because a firm unwilling to state that standard is telling you something.
RYNO — operated 3.5 years, then transitioned
EY — the client took the model forward
Open stack, documented model, no licence
07
Alternatives
Each of these is genuinely good at something. The second column is the one worth reading.
| Option | Who builds it | What happens after |
|---|---|---|
| Platform vendors | Their forward-deployed engineers, on their platform. Fast, and frequently excellent. | The Mantle lives inside a licence. Leaving means rebuilding, which is the commercial design rather than a defect. |
| Global integrators | A named team in the pitch; a different, more junior team in delivery. | Knowledge leaves with the rotation. The renewal exists because nobody on your side was ever meant to run it. |
| Staff augmentation | Your architecture, their hands. | Whatever your own team had capacity to design. Capacity is usually the reason you called. |
| Innovatily | A domain expert paired with a forward-deployed engineer. The people in the room are the people who build it. | Your team runs the Mantle on an open stack. We are available, and not required. |
08
Your stack
We build on what you already run, and on nothing that requires a continuing payment to us in order to keep working. This is the same claim the Handover Test makes, stated in a plainer register.
AWS · Azure · On-premise IBM i · PostgreSQL · MongoDB · Neo4j · Qdrant · Airflow · Spark · dbt · DuckDB
09
Engagement
Ninety minutes with the people who own the problem. Not a discovery call — we come with a hypothesis about your model and spend the time being corrected.
What we think is actually wrong, what we'd build first, and what we'd refuse to build. Yours to keep, and to take to another firm if you'd rather.
One module of the Mantle, priced as a fixed number against a defined outcome, with the handover criteria written into the statement of work rather than promised in a meeting.
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