Founded in Hyderabad
Started as a two-person team — then called Green Software — experimenting with healthcare platforms.
About Thrymr
Started as a two-person team in 2013, still led by its founder — with client relationships that average seven-plus years.
Built for real-world delivery
Thrymr began in 2013 with a focus on crafting digital solutions for businesses that need practical technology execution, not presentation-only transformation.
Today the company brings together product thinking, cloud engineering, data platforms, applied AI, quality assurance, and ongoing support for organisations across Singapore, India, and global markets.
Our journey
Thrymr has grown steadily rather than suddenly — and the clients have stayed: the average client relationship runs seven-plus years.
Started as a two-person team — then called Green Software — experimenting with healthcare platforms.
Registered as Thrymr, launched a first product, and took on the first services clients.
Incorporated in Singapore as the team passed 100 people.
Built out delivery depth across AWS, GCP, and Azure.
Moved from platform builds into applied machine learning and deep learning in production.
Extended delivery to clients in the US and Hong Kong.
Began applying generative AI to client workflows, building on the machine-learning practice.
Graduated from the Stanford Seed programme in November 2023.
Leadership
Thrymr is led by its founder, Rishi Khare — an IIT Kanpur engineer who started the company as a two-person team in 2013 and still works close to the product. Before Thrymr, he led delivery organisations of 100+ engineers; in 2023 he graduated from the Stanford Seed transformation programme.
That founder-led shape is deliberate, not incidental to how the company happens to be run today.
Clients talk to the person accountable for the work, and engineering judgement stays in the room where commitments are made.
What makes us useful
Thrymr is useful when the challenge is bigger than a single app: legacy constraints, fragmented workflows, unclear data, AI ideas without production paths, and platforms that need long-term evolution.
AI is connected to real workflows, human review, data boundaries, feedback loops, and measurable outcomes.
Cloud-native development, integrations, APIs, scalable application delivery, and support for systems that need to keep evolving.
Workflow, data, roles, approvals, reporting, and support are treated as one connected operating model.
Legacy systems are improved in controlled stages so the business can keep operating while the foundation changes.
Data engineering work supports analytics, AI, operational reporting, and leadership visibility.
Teams can engage Thrymr for assessments, defined projects, dedicated delivery capacity, or continuous product evolution.
Delivery approach
The exact method adapts to the project, but the underlying pattern stays practical: understand the business workflow, design the system, build in stages, validate, launch, and keep improving.
Clarify goals, users, workflows, systems, data, risk points, and constraints.
Turn the operating model into architecture, user journeys, APIs, dashboards, and release plans.
Deliver full-stack software, AI workflows, data pipelines, integrations, tests, and cloud infrastructure.
Operate, monitor, refine, extend, and help teams adopt the system after launch.
Presence
Thrymr has been registered in Singapore since 2016 and maintains offices in Singapore, Hyderabad, and Lucknow, with contact routes for project, recruitment, and HR conversations.
105 Cecil Street, #22-11, Singapore 069534.
9th Floor, Nanakramguda, Telangana 500032.
1/615, Sector J, Kursi Road, Uttar Pradesh 226021.
Partner with Thrymr
Whether the need is applied AI, modernisation, data engineering, or long-term product delivery, the conversation should start with the work your team needs to improve.