Applied AI
AI-enabled workflows, copilots, document automation, intelligent dashboards, and human-in-the-loop systems.
View serviceApplied AI. Modernisation. Operating systems.
Applied AI and modern operating systems for financial services
Thrymr helps fintech and financial-services teams modernise legacy platforms, build applied AI workflows, and create business operating systems that improve speed, visibility, and operational control.
2013Founded
150+Global clients
100+AI & cloud specialists
35Case studies
How it fits together
The operating system behind fintech growth, built layer by layer
Five layers, one connected platform — from core infrastructure up to the interfaces people actually use.
InterfaceRole-specific tools for operations, analysts, and leadership
WorkflowApprovals, queues, SLAs, escalations, audit trails
Applied AIRetrieval, document intelligence, human review loops
DataPipelines, analytics models, dashboards, lineage
CoreLegacy systems, APIs, cloud, security, integrations
In production with
Practical transformation
Build the operating system behind financial-services growth
Most of what we build is still in production years later — several platforms for 8–12+ years. We modernise legacy systems, build the workflows around them, and put AI where it does real work, not where it demos well.
Modernisation
Upgrade legacy platforms without freezing delivery
Refactor core applications, migrate workloads, strengthen integrations, and prepare systems for AI, analytics, and regional growth while protecting live operations.
Applied AI
Move AI from demo to workflow
Build assistants, document intelligence, triage flows, decision support, and human review paths around the actual work teams perform every day.
Operating systems
Connect work across people, data, and systems
Replace fragmented approvals, spreadsheets, case queues, and status reporting with platforms that show ownership, exceptions, and next actions.
Engineer trusted data foundations
Create pipelines, warehouses, analytics layers, dashboards, quality checks, and governed data flows that make reporting and AI more dependable.
Transform manual operations
Turn operational friction into shippable workflows for onboarding, reconciliation, review, reporting, notifications, customer service, and internal controls.
Stay after launch
Support adoption, reliability, optimisation, new use cases, and continuous product evolution after the first release is in production.
Starting points
Choose the entry point by business symptom
The right first move depends on where progress is blocked: production AI readiness, legacy constraints, manual operations, fragmented data, or stalled transformation work.
AI pilots are not production-ready
Models and demos exist, but they are not wired into secure, measurable work.
AI readiness and workflow assessment
Releases are slow because of legacy code
Teams avoid change because every integration or feature creates risk.
Legacy system review
Operations still depend on manual handoffs
Spreadsheets, email, chat, and disconnected tools are carrying critical work.
Operating workflow mapping
Reporting is slow or inconsistent
Leadership does not trust dashboards because data ownership and quality are unclear.
Data foundation review
Transformation is stuck after strategy
The roadmap exists, but teams need design, engineering, integration, and support capacity.
Buildable roadmap and delivery sprint
Services
Six services, one transformation system
Most financial-services transformation work does not fit cleanly into one category. A legacy migration exposes data gaps. A data project unlocks AI. An AI workflow needs a business operating system around it.
Product engineering
Design and build custom platforms end to end, architecture through admin tooling, made to launch, scale, and stay supportable.
View serviceLegacy code migration
Refactor, re-platform, rebuild, integrate, and migrate systems in controlled stages.
View serviceDigital transformation
Turn operational friction into a roadmap, then deliver the workflows and systems needed to make change stick.
View serviceBusiness operating systems
Create internal platforms that manage work across teams, systems, approvals, data, and reporting.
View serviceData engineering
Build infrastructure for analytics, reporting, AI, regulatory-aware workflows, and operational visibility.
View serviceSingapore context
Speed matters, but trust does too
Singapore financial-services teams operate in a market where innovation has to be matched with operational resilience, clear accountability, secure access, reliable data, and responsible AI adoption.
Thrymr does not position technology as a replacement for governance or expert judgment. It builds systems that help teams see work clearly, control handoffs, review AI outputs, and scale without losing the operating model.
Proof
Experience across complex digital systems
Use proof by business problem: fintech workflows, insurance systems, Singapore platforms, high-volume operations, and integrated business systems.
2013 · foundedToday
Axis BankEnterprise IT support
MSIG SingaporeRetail insurance distribution
Inspirage (Accenture)Supply-chain visibility
Bars are drawn to scale from stated production spans — every platform on this chart is running in production today.
FintechZaggle
Live rewards and engagement platform rewritten on an AI-native foundation for a listed Indian fintech.
Wealth technologyWM Cockpit
AI-enabled wealth intelligence platform for Singapore family offices and private-banking teams.
InsuranceMSIG
Quote-to-policy sales platform for a major Singapore insurer, in production for 8+ years.
Lending technologyTurnKey Lender
Engineering, QA, and BA support scaling a configurable Singapore lending platform.
BankingAxis Bank
Enterprise IT-support platform in production for more than a decade.
Fintech workflow orchestrationSingapore financial-services systemsHigh-volume digital platformsData-heavy operating environments
Delivery model
From first assessment to long-term evolution
Thrymr can support a single modernisation initiative or become the long-term delivery partner for a platform that will keep changing. Learn more about Thrymr.
Map the workflow
Clarify users, systems, data, risks, controls, handoffs, constraints, and measurable outcomes.
Define the first release
Shape the architecture, delivery sequence, integration path, data needs, and adoption plan.
Build and integrate
Deliver full-stack software, data flows, AI workflows, APIs, dashboards, and cloud infrastructure.
Evolve in production
Improve reliability, support teams, measure outcomes, and extend the platform with new use cases.
Ready to modernise
Tell us what you need to improve, migrate, automate, or build.
We will help shape the roadmap and turn it into a production-ready system for the teams that depend on it.