COMPANY

Where rules and data collide,
we kept finding one problem.

Insurance actuarial work, defense specifications, supply chain operations — three different floors with the same shape. Many rules, thick documents, and judgment locked inside one person's experience. Syndasis set out to build AI agents that carry out that judgment and show the reasoning behind it.

SYNDASISSeeing the problem

Building IFRS 17, ICS and RBC systems for insurers across Asia, we kept running into the same scene.

A cash-flow engine worth tens of millions of dollars goes live. The calculations are flawless. But on the last stretch — turning those results into a closing report — the engineers open Excel again.

Defense was no different. A specification engineer with fifteen years behind them tracks hundreds of standards from memory.

Supply chains at distributors and manufacturers were the same story.

One person moves between ERP, WMS, contracts, email and customs systems, cross-checking documents and deciding what to order. When an exception appears, the review starts over.

SYNDASISFinding what they shared

The three domains looked nothing alike. Structurally, they were almost identical.

Work governed by regulation and quantitative models demands defensible reasoning. Work tangled in partners, systems and exceptions demands the best call for the situation in front of you. Neither is solved by a general-purpose AI that summarizes documents.

Both could be rebuilt as AI agents — but only agents with the domain's rules built into the engine, delivering the reasoning alongside every answer.

SYNDASISStarting the company

We founded Syndasis in January 2026. These are the scenes we want to change.

A two-week specification review that finishes in tens of minutes.
AI-Milspec · defense specification analysis
Import documents verified, and the person in charge only presses Approve.
Supply Chain AI Agents · contracts, purchasing, sourcing, trade
The night before the closing deadline, Excel stays shut.
Insurance Risk Platform · IFRS 17, ICS and RBC
A loan officer who can explain a decline in plain sentences.
Credit Risk Platform Horizon · term-structured PD

That is the difference we want to make.

  WHAT WE BELIEVE

What we believe

01.
We don't ship AI that doesn't know the rules
There is a difference between a general-purpose model producing a plausible answer and an engine that has internalized the rules answering with reasoning an expert accepts. We always choose the second.
02.
AI judges. People decide.
Regulators, auditors and executives do not accept black boxes. Every output carries its reasoning, and anything legally or financially binding runs only after a person approves it.
03.
Your existing systems are an asset
Replacing a CF engine, ERP, SCM, CRM or WMS is not innovation. Adding a layer of judgment, drafting and exception handling on top of them is.
04.
Our customers' problems become our products
We don't sell what we happened to build. We build what customers need. The roadmap always comes from the field.
  2026

Where we are now

FoundedJanuary 2026
In progress4 contracted projects · 6 government agreements and programs · 2 patents filed
ProductsInsurance Risk Platform · Credit Risk Platform Horizon · AI-Milspec · Supply Chain AI Agents
2026.08Top 5 finalist, MSS AI+ OpenData Challenge → productized as the Credit Risk Platform

We are building our products through engagements with a Korean life insurer, a Thai policy bank and a manufacturer, alongside government programs. Syndasis is a registered venture company, an industry–academia partner of Kumoh National Institute of Technology, and a collaborator with NTT Data Thailand.


Knowing where the problems are, and how they should be solved, is the standard we hold ourselves to every day.

  JOIN US

We are looking for people who want
to solve the same problems this way

The problems Syndasis takes on are not small ones. Insurance, defense and supply chain each pack rules, data and exceptions into an unusually dense knot.
We want to work with people who can understand complex rules, turn them into AI agents that decide, and ship products that hold up in the field.

MODEL & AGENT
AI / ML
Engineer
Experience with LLM fine-tuning, RAG design, agent orchestration and inference optimization
DATA & INTEGRATION
Data & Backend
Engineer
Experience with FastAPI service APIs, regulated data pipelines and enterprise integrations such as ERP and SCM
INSURANCE · DEFENSE · SUPPLY CHAIN
Domain
Expert
Hands-on experience in IFRS 17 / ICS / RBC actuarial work, defense specifications, or trade, purchasing and supply chain operations

Your background doesn't have to match one of these. If the work resonates, that is enough.

contact@syndasis.com →