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Siam Computing

IN Website 11-50 employees

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$25 - $49/hr
4.8

8 reviews

External Reviews

Technologies

Java.NETPythonAI/MLWeb3IoTGen AIMachine LearningImage & Video ProcessingConversational AI

Services

Product Strategy and ConsultingMVP DevelopmentDedicated Product TeamCo-Development ProgramUI/UX DesignDevOpsCoding & TestingAI & Chatbot DevelopmentAI-Driven DevelopmentMachine Learning Solutions

Notable Clients

Kauvery HospitalsAltius FoundationSPI EdgeAgile RepublicClean TrackNavya Care

Siam Computing is a product development company founded in 2012 and based in India. The company works with startups and enterprises to move products from concept through launch, combining product strategy with design and engineering. Siam operates with 150+ full-time professionals and counts healthcare, education, finance, and real estate among its core industries. Rather than positioning itself as a code shop, the company frames its work around understanding end users first and building products aligned to their needs.

Services and capabilities

Siam's main offering sits in four buckets: Product Strategy and Consulting, MVP Development, Dedicated Product Teams, and a Co-Development Program (a strategic joint venture model). On the strategy side, they work with founders in early stages to map user research and build product roadmaps. Their MVP service targets delivery in 14 weeks or less—the site claims "12 weeks or less" in some places. The dedicated team model lets clients assemble engineers, designers, strategists, and product managers as an extension of their in-house group without managing the hiring and training overhead.

Technically, they list experience with major stacks—Java, .NET, Python—as well as AI/ML, Web3, and IoT. Service lines also include UI/UX Design, DevOps, Coding & Testing, and several AI specializations: Gen AI, Machine Learning, AI-Driven Development, Image & Video Processing, and Conversational AI (chatbots). All are mentioned on the site but without detail on methodology or depth.

Notable work

Three projects are named: Kauvery Kare, which serves 500K+ patients as the digital touchpoint for Kauvery Hospitals (a major multi-specialty chain in India); I Wanna Learn, an LMS for Altius Foundation reaching 100K+ kids in rural India and designed to run on low-cost devices; and Nurrish, a fitness app with 20K+ paid users. Founders who have worked with Siam offer specific feedback: Ratheesh Krishnan (SPI Edge) credited Siam for running an untested subscription model in the movie theater business. Aby Yohannan (Agile Republic & Clean Track) highlighted the strategy team's speed in grasping expectations and building product schematic structure. Gitika Srivastava (Navya Care) noted the dedicated product team expedited roadmap delivery and integrated smoothly with her in-house group.

How they work

For dedicated team engagements, Siam follows a six-step process: Assessment & Planning (understand requirements, timeline, budget, roadmap; sign NDA); Team Composition (assemble based on tech expertise, domain experience, seniority, resource count, time zones); Team Integration (delivery in 2-3 days post-contract, communication channels, process alignment); Tools and Process Integration (adapt to client codebook, set up environments and DevOps pipelines); Ongoing Delivery/Sprint (two-week sprints with daily scrums covering development updates, release notes, test cases, deployment); and Review & Course Correction (monthly retrospectives to improve). Daily standups and monthly retrospectives are standard. No pricing is published on the site.

Team and credentials

Siam was founded in 2012 and operates with 150+ full-time professionals across undisclosed locations. The site lists a newsletter read by 4,000+ founders and ProdWrks, an in-house community and publication for product builders. No certifications (ISO, SOC 2, GDPR), partner statuses, or Clutch/G2 ratings are mentioned in the source material. The company publishes blog content on healthcare value-based care, AI in payer portals, and product strategy. A graduate training program exists for early-career hires.

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Case Studies

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Client Reviews

Reviews from verified clients

4.8

8 third-party reviews

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Frequently Asked Questions

What does Siam Computing specialize in?
Siam Computing specializes in product development across strategy, design, and engineering. They help move products from concept to market launch. Services include product strategy and consulting, MVP development (targeting 14 weeks or less), dedicated product teams, and a co-development program. They also offer UI/UX design, DevOps, testing, and AI/ML services.
Where is Siam Computing based and how large is the team?
Siam Computing is based in India and was founded in 2012. The company has 150+ full-time professionals on staff. They work across healthcare, education, finance, and real estate industries.
What's Siam's engagement model for dedicated teams?
Siam assembles dedicated teams through a six-step process: assessment and planning, team composition based on domain and tech expertise, team integration (2-3 days post-contract), tools and process integration, ongoing two-week sprints with daily scrums, and monthly retrospectives. Teams include engineers, designers, strategists, and product managers tailored to your needs.
How fast can Siam build an MVP?
Siam targets MVP delivery in 14 weeks or less from idea to product-market fit validation. Their processes are designed to move from initial concept to a working product in users' hands within this timeframe.
Who are some of Siam's notable clients?
Named projects include Kauvery Kare (serving 500K+ patients for India's Kauvery Hospitals), I Wanna Learn (an LMS for 100K+ rural Indian kids via Altius Foundation), and Nurrish (a fitness app with 20K+ paid users). Founders from SPI Edge, Agile Republic, and Navya Care have provided testimonials.
What technologies does Siam work with?
Siam has broad experience with Java, .NET, and Python. On emerging tech, they work with AI/ML, Web3, IoT, Gen AI, Machine Learning, image and video processing, and conversational AI. They assess and adapt to client codebases and DevOps pipelines.

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