AI engineering system for regulated hardware
Build and ship faster, without compromising rigor.
Koddex helps engineering teams cut time to market for complex hardware products in regulated industries, with specialized AI agents that work alongside them on a fully traced source of truth.
Backed by
Design your next product with AI agents in the team.
Design, document, prove compliance: at each step, AI agents take on the tasks that fill an engineer's week, and your engineers keep every decision. Teams bring new products to market up to 30% faster.
The V-model, acceleratedSpecify
Agents turn the customer specification into linked requirements
Your engineers review and correct them.
Design
Agents fill the BOM, compute mass and cost, and flag coverage gaps
Your engineers make the design choices.
Release
Agents check every change and prepare it for review
Your engineers approve and freeze the baseline.
Your whole team works faster on the same data.
Requirements, BOM, baselines and audits share the same parts and tests, so nothing is re-entered between teams, and AI agents move the work forward in each of them.
03
Agents build beside your engineers.
Assign a task to an agent as you would to a colleague. It creates data, comments, moves the workflow forward and hands work to other agents, the way a coding agent writes code, opens pull requests and reviews them. Your engineers approve every result.
- −50%
- time spent on repetitive engineering tasks
- −30%
- time to market
01
They take the tasks you assign.
An agent picks up the task, reads the parts, requirements and tests it needs, does the work on a branch and comments on what it found. You review the result like a colleague's.
Task
The bracket moves to supplier B: +180 g. Update the mass budget, flag what is at risk and draft the change request.
Plan
- Read the BOM and the bracket's links
- Run the mass roll-up in Python: arm 4.82 → 5.00 kg
- Flag REQ-112 (mass budget) and 3 tests to rerun
- Open branch auto/bracket-b and draft CR-118
Output
- Arm assembly mass4.82 → 5.00 kg
- REQ-112 mass budgetmargin −2 %
- Tests to rerun3
- Evidenceattached
AI verification engineer
Agent settings · Koddex
- Structure a customer specification
- Allocate requirements to the system
- Write test skeletons from requirements
- Run impact analysis on every change
- Draft change requests for review
02
You set their rules.
You give each agent its skills, its access rights and its scope. On the V-model, the agent runs each phase, finds what fails, fixes it and repeats until every phase passes. The release is still signed by an engineer.
03
They work as a team.
A pull request, a supplier file or a CAD revision starts the right agents automatically. Each one passes its result to the next, and the engineers concerned are notified to approve it.
01
A change comes in
02
The agent finds what it affects
03
Fixes proposed on branches
04
Engineers notified, the decision stays human
- AI engineering system assistant
- AI requirements engineer
- AI mechanical engineer
- AI verification engineer
- Your own agent
- AI agents & MCP
Koddex Forge
A platform for the next hardware generation.
A secure, traced source of truth: every piece of data and every decision is versioned and verifiable, across millions of requirements, components and test results.
Explore Koddex Forge01Millions of linked data points
Requirements, components, test results and documents: Forge handles millions of linked items and stays fast as your programmes grow. Your CAD, PLM and ERP keep feeding it.
02Granular access, full traceability
Each user, partner and agent sees only the items its access rights allow, and every change is logged with who made it, person or agent.
03Your own data model
You define your object types, attributes and links in your own vocabulary. When your process changes, you update the model and your existing data follows.
Koddex Forge works with any AI agent
Koddex's own agents and the agents you connect through MCP, such as Claude or ChatGPT, work on the same data, within each user's permissions.
Built for the teams that design complex hardware.
Built for the industries that make complex hardware.
Exotec designs its warehouse robotics systems in Koddex.
Exotec builds automated warehouse systems. Its requirements moved from PDFs into one engineering knowledge base in Koddex, shared with 20 partner organisations.
- 1,000+
- users in Koddex
- 1
- source of truth for product data (PDM)
- 20
- partner organisations in the model
Co-founder & CEO · Exotec
Bring products to market 30% faster.
−30%
time to market for a new product
−50%
time spent on repetitive engineering tasks
Minutes
to gather audit-ready evidence, instead of a 3-week effort
Ranges observed on guided deployments, not an audited average. We walk through the calculation on your perimeter during the demo.
- 1 day
- for a change impact analysis, instead of 2 weeks of meetings and spreadsheets
- 10 s
- to find the right information, instead of 45 min across many tools
- 15 min
- to assemble a complex product structure, instead of 2 to 3 days in Excel
- +30 %
- of engineering time back on the product, not on administration
Measured at our reference customer after a year in use.
A 20-min demo. Your first use case live in 1 month.
In 20 minutes, we show Koddex on one of your use cases, with a product like yours and your vocabulary. Your first use case is then live in your own Koddex within a month.
Frequently asked questions
See all questionsNone of the three, and parts of all of them. Koddex is the AI engineering system for regulated hardware: it holds your product definition (requirements, BOM, tests, decisions, documents) as linked data that Koddex computes on: mass, cost, coverage and the impact of each change. It replaces the scattered spreadsheets between your tools rather than replacing your CAD, your ERP or your quality processes, and it connects to PLM, QMS, ERP and MES platforms via API.
The first use case is typically live in production within 48 hours, and full onboarding takes about three weeks, not three months. Deployment follows a repeatable six-phase method (setup, learning, core concepts, data governance, use case implementation, wrap-up) with validation milestones, led by a dedicated Customer Success Manager. There is no multi-quarter integration project.
Typically through your IT team's standard middleware layer, consuming the Koddex API. Data exchanges are fully traced: every integration action is logged with a per-integration audit trail, and access can be scoped precisely so an integration only reads or writes the data it needs. Your IT team keeps control of the exchange architecture.
Exclusively in the European Union, in the AWS Europe (Ireland) region. No customer data is stored, processed or transferred outside the European Economic Area without your prior express written agreement, in compliance with GDPR Chapter V. If a non-EU authority requests access to your data, we commit contractually to notify you without delay, challenge legally baseless requests, and limit any disclosure to the strict minimum.