On-premise · agent platform

Next-generation agent platformthat actually gets work done.

huoku is an on-premise agent platform that turns scattered company knowledge into automated action — on your own infrastructure, with no external dependencies.

Foundation
On-premise
Components
Agents · Workflows
Security
Document-level
Problem

Knowledge that doesn't turn into action.

For most organizations, knowledge is scattered, isolated, and siloed. AI promises rapid change, but most platforms require moving your data outside your control.

01

Scattered knowledge

Critical information lives across dozens of systems — Confluence, SharePoint, file shares, intranets, email, ticketing tools. People spend hours hunting for things that already exist somewhere. No system connects the pieces.

02

Data sovereignty

Cloud AI platforms need access to your data. For many companies, sending sensitive business knowledge to an external vendor isn't an option — for regulatory, competitive, or policy reasons.

03

External dependencies

When you wire business-critical processes to a cloud AI vendor, you inherit a dependency. When their service goes down, your workflows stop. Operations should not run on someone else's infrastructure.

Solution

An on-premise agent platform that turns knowledge into action.

01 · Foundation

On-premise by default

huoku runs entirely on your own infrastructure. Data never leaves your network. Processes never depend on external APIs. Security is built in, not bolted on.

02 · Action

Agents that do the work

Agents don't just retrieve information — they call APIs, combine sources, and produce finished decisions. Knowledge becomes action.

03 · Control

Everything from one panel

Agents, identities, knowledge collections, data protection, monitoring, and traces. One view — for operators, security, and audit.

Use cases

Agents in production.

Sensor data and manuals, together. Anomaly detected, the right team alerted, work order opened. Same platform, your own infrastructure.

Industrial · Running 24/7

Predictive maintenance.

A scheduled workflow continuously analyzes machine state. An anomaly is detected before anyone has time to ask — and the corrective action starts in the background.

01Aggregate

Sensor data + manuals

The agent fuses OPC-UA streams, MES history, and PDF manuals into one context.

DATA.IN / 4 SOURCES
  • OPC-UA sensor streams
  • MES production history
  • PDF maintenance manuals
OPC-UA · 12.4k/s
02Reason

Model diagnosis

Spots the anomaly, retrieves prior cases, and proposes root causes with source citations.

ANOMALY · LINE 03
  • vibration +38%
  • temperature ↗ 87 °C
  • ≈ manual §4.2
confidence 0.91
03Alert

Route to the right team

Routing follows identity and shift — Teams, email, or a work order, directly.

TEAMS · #MAINTENANCE
  • @shift-tech
  • Line 03 — predictive
  • open source →
response 3 min
04Act

Work order + instructions

Creates a maintenance order in the ERP, attaches step-by-step instructions, closes the loop.

SAP · WO-21847
  • ✓ order opened
  • ✓ instructions attached
  • ✓ window 14:00
status active
Procurement · Contracts

Procurement assistant.

The agent compares offers and contracts side-by-side — price, coverage, terms, and special clauses in a single view, with source documents in context.

  • Side-by-side comparison table — rows extracted automatically
  • Citations to the original PDFs always visible
  • Differences that matter for the decision are surfaced
Product

The control room.

Agents, workflows, identity, monitoring, and tracing — inside the same admin panel. One window for operators, security, and audit.

Admin panel · AI agents

Manage AI agents centrally.

One view for all your AI agents. Each card shows the agent's role, available tools, and live status.

  • 01Agent overviewCard view shows the agent's role, tool count, and status at a glance.
  • 02Interface tagsColor-coded tags (chat, rest, kafka) immediately indicate which interfaces an agent supports.
  • 03New agent creationAdd agents in a few clicks — no programming, no DevOps tickets.
Manage AI agents centrally.
Document-level security

Permissions follow the data — chunk to answer.

Security is not a separate layer. It's part of the architecture — every chunk, query, and answer carries an identity.

01 · Access control

Chunk metadata

Every chunk preserves the original ACLs — groups, users, and visibility tags.

02 · Sanitization

Data Guard

Regex-based PII masking before storage — personal data never enters the index.

03 · Search · RAG

Vector database

Hybrid search returns only the chunks the asker is authorized to see. The answer cannot leak data.

04 · Audit

Tracing

Every query, retrieval, and answer is traceable down to the user and the source.

PII redaction before AI sees it

Sensitive identifiers are automatically masked in the document pipeline — GDPR and EU AI Act are satisfied without giving up the AI value.

GDPREU AI ActData Guard
Source

Patient Matti Meikäläinen, SSN 120464-123A, arrived at the clinic on 2026-04-12.

For AI

Patient Matti Meikäläinen, SSN [REDACTED_FI_SSN], arrived at the clinic on 2026-04-12.

The result: the AI only answers from data the user is permitted to see — without unbundling or duplicating your existing access model.

Founder's voice
Building real-time data platforms for operators taught us one thing: if it doesn't run reliably on the customer's own infrastructure, it doesn't run at all.
Ville Seppälä·CTO · huoku

We built huoku on the same principle — on-premise · production-grade · no external dependencies

Start with a conversation

AI on your own infrastructure.
On your terms.

Tell us briefly about your environment and your goals — we'll come back within two business days with a concrete next step.

On-premise · Production-grade