Build. Transform. Assure. Scale
Build software faster. Transform how work gets done. Deploy AI you can trust.
Delivered from Colombo, Sri Lanka, for clients in Australia, the UK, Europe and North America.
What we do
SYGNISYS builds AI-native engineering teams, modernises and builds software, redesigns business workflows with AI and agents, and tests AI-generated software and AI systems before they reach production. One partner from first assessment to running system.
Have a specific challenge? Try AI Lens
Why SYGNISYS
SYGNISYS started by building and running high-performing software engineering teams for companies in Australia, the UK, Europe and North America. We now apply the same engineering discipline to AI-native software delivery, AI agents and business transformation. The models change every few months. Sound engineering, testing and accountability do not.
We build production systems, not demonstrations.
We decide what people, software and agents should each do, based on the cost of an error.
One partner from opportunity assessment through build, deployment and operation. No hand-off gaps.
Quality, security and human oversight are engineered into delivery, not added at the end.
Who we help
Scale engineering capacity, ship AI features and bring AI into your software delivery lifecycle.
Explore AI Engineering TeamsModernise legacy platforms and move AI into production with the engineering, control and assurance enterprise operations require.
Explore AI AssuranceTurn specific operational problems into measurable AI improvements, starting with one workflow.
Explore AI TransformationDelivery method
Our AI-native delivery method. People, AI engineering tools and delivery agents work together, with human review at the points that matter.
AI accelerates engineering discipline. It does not replace it.
Explore our approachHuman + AI
Not every task should be automated, and not every automated task should run unsupervised. We set the level of autonomy by the consequence of an error.
AI drafts, searches or suggests. A person decides and acts.
Typical fit: High-judgement or high-consequence work
A person sets the task; AI carries it out and reports back.
Typical fit: Well-defined tasks that still need direction
AI completes the work; a person approves before it takes effect.
Typical fit: Repeatable work where errors are costly
AI runs the workflow; defined cases escalate to a person.
Typical fit: High-volume work with clear rules and low-cost errors
The goal is not maximum automation. It is better performance with appropriate control.
Proof
Every engagement starts with a measured baseline and ends with the same measurement taken again. We publish outcomes only when our clients have confirmed them. Where you see an example on this site, it is labelled as illustrative.
Illustrative use case · Insurance
Claims arrive as forms, photos, emails and reports. An AI workflow classifies each document, extracts the key fields and routes the claim, with adjusters reviewing anything outside clear rules.
Illustrative use case · Financial services
Analysts read long policy and transaction documents against changing regulatory requirements. An AI assistant highlights relevant clauses and gaps, and the analyst decides and records the outcome.
Start here
Describe an operational challenge and get a first look at where AI, automation or agents could help, and what to check before you start.
SYGNISYS AI Lens
Ready
Please don’t include confidential or personal information. Your description is processed by our AI provider to generate the findings.
A first look generated by AI from your description. It is not an assessment; our team can review it with you.
Already building or running an AI agent? Start with a fixed-scope assessment
For teams building or deploying AI agents. We test reliability, tool use, permissions, security and human oversight, then give you a findings report and remediation plan.
Delivery
Our engineering teams are based in Colombo, Sri Lanka. That gives you strong engineering depth and three to five hours of shared working time with both Australia and the UK each day. Where a client needs more overlap, we shift team schedules to match.
Technology
We choose technology for the problem, not the other way round.
Your workflow
The outcome you need sets the stack. Each layer below is chosen for it.
Model-agnostic
Cloud-agnostic
SYGNISYS is a software engineering company in Colombo, Sri Lanka. We build AI-native engineering teams, modernise and build software, redesign business workflows with AI and agents, and test AI-generated software and AI systems before they reach production.
Our engineering teams are based in Colombo, Sri Lanka, with an office in Rajagiriya. We work with clients in Australia, the UK, Europe and North America, as well as in Sri Lanka.
Colombo gives three to five hours of shared working time with both Australia and the UK each day: your afternoon in Australia and your morning in the UK. If you need more overlap, we adjust the team’s schedule.
We are model-agnostic and cloud-agnostic. We work with models from OpenAI, Anthropic and Google and with open-source models, on Microsoft Azure, AWS and Google Cloud, and we choose technology for the problem.
We decide what people, software and agents should each do based on the cost of an error, using four oversight patterns. Quality, security and human review are engineered into delivery, and AI systems are tested before they are released.
Talk to an expert about your goal, try AI Lens on a specific challenge, or, if you already run an AI agent, start with the fixed-scope Agent Assurance Assessment.
Talk to us
Whether you need engineering capacity, a new or modernised product, a plan for AI in your operations, or testing for AI-generated software and the AI systems you run, start with a practical conversation.