01
Watch
The core observes your systems and data streams continuously: events, documents, signals. Nothing waits on someone remembering to check.
Deep-tech AI 路 Estonia, EU
AI products,built on oneagentic core.
Kindlast and ERES run on a single core that watches, reasons, acts, and waits for human approval. Production-grade AI, engineered for deployment, not demos.
- GDPR-aware
- EU-hosted
- Human-in-the-loop
Agentic coreRunning
01Watch
02Reason
03Act
04Approve
Agentic systems/Computer vision/Model fine-tuning/GDPR compliance/MLOps/Voice AI/EU AI Act/Data science/
What Entear is
We're a deep-tech company. We build one agentic core that watches, reasons, acts, and waits for approval, then ships as products European business runs in production.
The agentic core
One loop. Four moves.
Autonomous where it helps, human-approved where it counts. The same core behind every product we run.
02
Reason
It plans against your rules and context the way a domain expert would. Not a single prompt, but a chain of grounded decisions.
03
Act
It executes real work through your tools and integrations: updating records, drafting notifications, moving a process forward.
04
Approve
Consequential actions pause for a human. Push-based sign-off keeps a person accountable for every decision that matters.
Scroll to run the loopWatch 路 Reason 路 Act 路 Approve
Products
See how they workTwo products, live in production.
Built for Europe
Run the way Europe expects software to be run.
EU-hosted
Your data stays in the EU
Systems run in EU regions; data stays in your environment or on EU-hosted services, deployed to your infrastructure.
By design
Compliance at build time
Data minimisation, access controls, and encrypted transit are decided while the system is designed, not bolted on after.
One team
A single point of accountability
Infrastructure, backend, and machine learning delivered by one team, accountable for the whole engagement.
Partnerships 路 a few each year
How we buildWant the same team to build yours?
We take on a limited number of engineering partnerships: same core, defined scope, fixed timeline, production software you own.
Agentic systems
Multi-agent architectures and tool-use pipelines: the watch/reason/act/approve core applied to your operations.
Model development
Fine-tuning, computer vision and NLP, taken from research to production inside your infrastructure.
Data science & MLOps
The full lifecycle, plus the monitoring and retraining that keeps it alive in production.