EnterpriseAIyouown.
From AI ambition to production ROI, with Enterprise AI Sovereignty built in. Your systems. Your context. Your team in control. No lock-in.
Trusted by Enterprise Leaders


















1 of 31 Global AI-First Services Firm (2026)

Enterprise AI Knowledge Partner

Models Commoditize.
Context Compounds.
If your competitors run the same models you do, where does your advantage come from? Your context. And it only compounds if you own it.
Models are converging
Inference keeps getting cheaper and frontier capability keeps spreading. The model is no longer the moat.
Models are converging
Inference keeps getting cheaper and frontier capability keeps spreading. The model is no longer the moat.
Context is the advantage
Your data, ontologies, workflows and decisions. Your operating know-how. That is what makes AI valuable, and it cannot be bought off the shelf.
Context is the advantage
Your data, ontologies, workflows and decisions. Your operating know-how. That is what makes AI valuable, and it cannot be bought off the shelf.
Context compounds
Every workflow in production makes the next one smarter, faster and cheaper to build.
Context compounds
Every workflow in production makes the next one smarter, faster and cheaper to build.
So own what compounds
Context should sit inside your enterprise, never with a vendor. Everything we build starts from that.
So own what compounds
Context should sit inside your enterprise, never with a vendor. Everything we build starts from that.
Pilotsstall.Costsrise.AIyoudon'town.
Three questions every leader should ask.
Can we get to production? Can we afford it at scale? Can we own what we build? Most enterprise AI programs cannot say yes to all three.
Pilots that never scale
Demos win the room, then stall. No production data, no owner, no ROI.
Rising token costs
Your bill is the vendor's revenue line. Cost rises with your success.
Lock-in
The more you build, the harder it is to leave. Your context lives on their stack, not yours.
Enterprise AI Sovereignty. The New Enterprise Imperative.
The ability to own, control, evolve and move your AI, with no dependence on any cloud, model, framework or vendor. Enterprise AI Sovereignty is the competitive edge that stays inside your enterprise.
Start small. Scale fast. Own it.
Three stages, one architecture. Each new use case scales faster and is measured on business ROI.
First use case in production
One use case, one KPI, live on your systems. Your Enterprise Context Graph stood up.
Proven pattern, scaled
Run against business KPIs, never tokens consumed. Replicated across functions as costs come down.
A private-label AI studio you own
Context graph, agents, source code, runbooks and a trained team move to you.
First use case in production
One use case, one KPI, live on your systems. Your Enterprise Context Graph stood up.
Proven pattern, scaled
Run against business KPIs, never tokens consumed. Replicated across functions as costs come down.
A private-label AI studio you own
Context graph, agents, source code, runbooks and a trained team move to you.
Others sell dependency. We sell ownership.
Every vendor in this market is paid to keep you. We're built to set you free.
Platforms
Paid on consumption. Your usage is their revenue, so costs rise with your success.
Consulting firms
Paid on engagement length. Your dependency is their annuity.
AI boutiques
Paid for scarce talent. When they leave, the capability leaves with them.
One integrated stack. Composable by design.
AI technology, domain expertise and enterprise execution in one stack. Use all of it, or just what you need. We build what’s missing.
AI Adoption
BECOMING AN AI-NATIVE, SOVEREIGN ENTERPRISE
Proven in production. Repeatable across industries.
10+ customer deployments across the US, APAC and EMEA. Each one built on the client's systems and owned by them.
Case Study - David's Bridal
From legacy retailer to AI-first wedding platform in under four months.
A 76-year-old US bridal retailer. Legacy commerce, content and planning systems. Live customers, live revenue, zero tolerance for downtime.
Pearl is the first end-to-end AI wedding planning platform, built with DotKonnekt on Kompass Studio and owned by David's Bridal. 100K+ brides served. 200K+ vendors connected.
Now a Kellogg School of Management case study.
80%
Lower TCO vs initial POC build
3x
Faster to market than other vendors evaluated
90%
Lower token cost vs initial POC build
< 4 months
from start to production launch
“We're putting the AI in d-A-v-I-d's, thanks to our partners at DotKonnekt.”
Kelly Cook
CEO, David's Bridal
“Work that typically takes over 12 months to move from concept to production, we did in 12 weeks.”
Ricky Bretting
CEO, Bretting Manufacturing
Kompass Studio. Find your True North
Other AI studios give you a sandbox. Kompass Studio gives you a factory, and then it gives you the keys.

Enterprise Context Graph + Agent Orchestration Layer. Engineered for production.
Cloud, model and framework agnostic. Runs in your VPC.
Real-time observability and continuous evaluations on every workflow
Built-In Guardrails, Governance and Cost Controls
Sovereignty has three dimensions
Kompass Studio is built for all three.
Enterprise AI you own.
Start with a 1-day Executive AI Workshop. Pick the highest-yield use case, define your sovereignty end state, and scope a 12-week first wave. Models commoditize. Context compounds. Own what compounds.