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Tech Startups in Singapore: Buyer's Guide (2026)
What engaging a technology startup gives you: sharper product fit, faster iteration, and founder-level attention. And what it quietly takes back: certainty about runway, support depth, and what happens if the company changes direction.
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Ranked list — directory records ordered by the published profile-signal methodology; paid modules are separate.
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A technology startup in Singapore is usually selling a product or service built around a narrow problem: AI, fintech, health technology, climate technology, logistics, software, or a deep-tech application. The label is useful, but it is not a diligence result. A startup can be an excellent supplier for a contained workflow and a poor choice for a system of record, even when both products look equally polished in a demonstration.
The buyer is trading certainty for relevance. Early-stage teams can change the product quickly, work closely with a design partner, and solve a problem an established supplier has not noticed. They also have fewer layers of support, less operating history, and a greater chance of a funding or strategy event affecting your service. The right question is not whether startups are safe. It is whether the workload has enough upside and enough reversibility to justify the risk, and whether the contract makes the downside survivable.
Notable tech startups providers
Unranked — ordered by profile signal score, then company name. Inclusion reflects a recorded Singapore-presence signal, not endorsement.
Listing order reflects recorded profile signals and is not affected by payment. Sponsored placements, if any, are labelled separately and never reorder this list.
Tetsuyu Healthcare Holdings Pte Ltd is a Singapore-based HealthTech startup that specializes in community care management solutions for the health and community care sector.
DaoCloud is an innovative cloud-native AI company leveraging open-source expertise to deliver d.run, a computing power scheduling platform that manages heterogeneous computing resources, integrates mainstream large language models, and enables flexible AI workload sharing.
DeviceTotal provides an AI-powered device intelligence platform designed to detect and eliminate vulnerabilities and risks in OT, IoT, network, and security devices.
IFSC (Integrated Facilities Services and Consulting) is an advanced PropTech solution provider specializing in Smart Building Automation through its SIMPPLE Ecosystem.
Topview is revolutionizing video creation by leveraging proprietary AI and digital human technology to make video production faster, more affordable, and scalable for businesses worldwide.
VFlowTech (VFT) develops energy storage solutions based on vanadium redox flow battery technology. A spin-off from Nanyang Technological University Singapore, VFT aims to create affordable and scalable energy storage.
Wubble.ai is the world's first enterprise-grade ethical AI solution enabling businesses to create royalty-free, personalized music in seconds at a fraction of current licensing costs.
1Bstories, also known as 1 Billion Stories, is a global content technology startup based in Singapore. This tech vendor aims to change the content ecosystem by helping brands and publishers create short-form videos at scale using AI.
AgileAlgo is a tech startup that integrates AI with human expertise to enhance workforce potential. The company's Prodigy Platform digitalizes workforce knowledge to help clients maximize creativity, judgment, and impact.
Airsquire is an AI-powered aerial intelligence platform that automates drone inspection and survey workflows for infrastructure, construction, and energy sectors.
Bitsmedia is a technology company that develops digital products supporting Muslim life. The company's primary product is the Muslim Pro application, which has over 180 million downloads and 4.7 million daily active users across more than 190 countries.
Blackbird.AI provides Narrative Intelligence to protect organizations and executives from narrative attacks, including disinformation, misinformation, and deepfakes.
BOIT Global is an ISO 9001:2015 certified technology start-up headquartered in Singapore. The company maintains a strong international presence with offices located in Dubai and India. BOIT Global Pte. Ltd. is situated at 20 Cecil Street, 05-03 Plus Tower, Singapore 049705.
BRDA is a Singapore-based technology and consulting firm that provides digital transformation solutions and IT services. The company specializes in delivering innovative solutions that help businesses optimize their operations and drive growth through technology.
DS Legends Pte Ltd (DSL) is Web3/AI company. DS Legends Its public website highlights: (DSL.SG) is a Web3 and AI company. Based on publicly available website content, this overview is intended to help buyers quickly understand the vendor's positioning before shortlisting.
Evercomm is a Singapore climate technology company providing carbon reduction and energy management services built on an AI-enabled asset performance management platform.
GoSave International is a Singapore-registered Agriculture Technology focused startup, incorporated in August 2018. The company's primary objective is to develop an Integrated Farm Technology tailored for small and marginal farmers across Indo-ASEAN countries.
H2O.ai is an AI company that provides the H2O AI Super Agent for Sovereign AI. The company offers the h2oGPTe platform, which helps enterprises build Small Language Models and deploy intelligent vertical task agents on private data.
Linppl Pte. Ltd. is a Singapore company incorporated in 2023 that operates a job-matching platform for the healthcare sector, connecting nurses with tailored career opportunities.
Lite Mobile, a brand of PhoneVibes Pte Ltd, is a Singapore-based tech startup offering mobile phone services. The company provides phone repair services, including doorstep and island-wide delivery options, with ISO-certified technicians and genuine parts.
Locus Chain develops a fully decentralized, high-performance public blockchain protocol designed for scalability and mass adoption. It supports large-scale data processing for various industries, including AI, Smart Cities, and Gaming.
Lyngon Pte. Ltd. is a Singapore IT startup specializing in consulting, systems integration, and middleware for distributed streaming analytics systems. The company focuses on delivering robust solutions in these areas.
Mercurics is a deep-tech startup specializing in behavioral analytics. The company leverages advanced data-driven psychometrics to understand and interpret human behavior.
Ospicon Systems is a Singapore-founded technology company holding patents in optical fibre sensing and wireless communications, applied mainly to connected healthcare and logistics monitoring.
Pantheon Lab provides human-like AI interfaces for public sector organizations and enterprises across Asia, solving operational challenges through its full-stack proprietary Agentic AI platform.
REYNHOLM, a privately held Singaporean AI startup founded in 2018, focuses on opportunities in trending and disruptive technology. The company provides AI-powered market research with real-time predictive analytics.
UCARE.AI is a Singaporean startup applying the power of artificial intelligence to accurately predict various aspects of the healthcare industry. The company aims to help patients, providers, and caregivers by making healthcare more efficient.
Cyber Sierra builds AI-powered security workflows helping enterprise security and compliance teams automate control monitoring, vendor risk reviews, evidence auditing, and regulatory documentation.
INF is a Singapore-based technology company dedicated to trustworthy generative AI innovation, providing end-to-end services spanning AI infrastructure to AI-native applications.
Innowave Tech is an Industrial Intelligence company specializing in machine learning, machine vision, and computer vision to help companies achieve digitization and AI transformation goals.
Treefera is an AI-native first-mile intelligence platform providing Market, Risk, and Environmental Intelligence for global agricultural and soft commodity markets.
Whale provides AI-powered retail analytics solutions through its SpaceSight platform, which integrates with existing cameras to offer real-time video management.
AsiaVerify is a Singapore-based RegTech company providing instant verification services for Know Your Business (KYB), Ultimate Beneficial Owner (UBO), Know Your Customer (KYC), and Anti-Money Laundering compliance workflows.
Doctor Anywhere is a Singapore-headquartered, homegrown digital healthcare company founded in 2017 that makes healthcare more accessible across Southeast Asia.
Enjin offers an ecosystem of integrated blockchain products and services, including a purpose-built blockchain, wallet, marketplace, and API. The company's Web3 stack is designed for games, enabling the creation and management of non-fungible tokens (NFTs).
Kyber Network is a multi-chain crypto trading and liquidity hub that aggregates liquidity from various sources to facilitate trades at optimal rates. It powers KyberSwap, a decentralized exchange (DEX) aggregator.
MyrLabs is an A*STAR spin-off company creating hardware, sensors, and algorithms addressing difficult multi-disciplinary problems using non-mainstream techniques.
Pendle is a permissionless decentralized finance (DeFi) protocol that enables the trading of crypto yield. It functions as a yield-trading platform where users can tokenize and trade future yield on Ethereum assets.
Resaro is an independent AI assurance company helping organizations deploy AI in high-consequence defence, government, and critical infrastructure environments.
Silicon Box is a Singapore-headquartered semiconductor company specialising in chiplet integration, operating a purpose-built plant at Tampines Wafer Park.
Terra is an open-source blockchain protocol that previously hosted a vibrant ecosystem of decentralized applications (dApps) and developer tools. Created in 2018 by Terraform Labs, the project was known for its algorithmic stablecoins.
Tictag is transforming the data annotation landscape within Singapore's IMDA Spark Programme through a unique blend of crowdsourcing and gamification. Its mobile application engages a diverse community of Taggers to efficiently complete data micro-tasks regardless of location.
TRON is a blockchain project established in Singapore in 2017, dedicated to building infrastructure for a decentralized internet. It operates as a decentralized proof-of-stake blockchain, supporting over 392 million accounts and 14.7 billion transactions.
WEIBUILD, founded in 2020, develops construction robots and intelligent construction systems. The company integrates precision machinery, control, navigation, vision, and AI algorithms into its robotic solutions.
A startup sale is often described as buying software, but the first purchase is usually learning. You are buying a team that has formed a hypothesis about a problem, a product that may still encode that hypothesis, and a relationship in which your feedback can materially change the roadmap. That can be valuable when the problem is poorly served. It can also mean that a feature shown in a demo is a manually supported workflow rather than a repeatable product capability.
Separate the current product from the future promise. Ask which functions are generally available, which are in pilot, and which depend on a founder or a particular engineer. Request a live workflow using representative data, not a curated demonstration. The purpose is not to punish an early-stage supplier for being early. It is to know what you are buying now, what remains experimental, and which parts of the operation would stop if one person left.
The advantages
Startups can be the rational choice when the business problem is new, the incumbent market is poorly fitted, or the value of learning quickly is greater than the cost of switching later. The advantages are strongest when the buyer keeps the first deployment bounded and makes success measurable.
Sharper product fit. A focused team may have built around the exact workflow, data shape, or industry constraint that broad platforms treat as an afterthought.
Faster iteration. A decision-maker is often close to the implementation, so a useful customer signal can become a product change within days or weeks rather than a distant roadmap item.
Direct technical access. Buyers can often speak with the people who understand the system, which shortens diagnosis and exposes trade-offs earlier.
A willingness to integrate. A young product may be more prepared to support an imperfect but important interface instead of forcing the buyer into a standard workflow.
Room to shape governance. Buyers who raise security, access, audit, and export requirements early can influence the operating model before it becomes difficult to change.
A better answer to an unserved problem. If the established options are expensive workarounds, a startup can turn a narrow operational pain into a repeatable service.
The upside is not simply lower price. A startup that discounts heavily while learning the market may be less durable than one charging enough to fund support and security. Look for evidence that the team is building a sustainable business, not only winning pilots. A useful product with a credible path to recurring revenue is a stronger procurement proposition than a polished demo with no explanation of who pays after the trial.
The pain points
The same characteristics that create startup value create procurement risk. Buyers should name the risk rather than hide it behind a generic innovation label.
Runway risk. A funding round is not the same as durable revenue. Ask how long the company can operate at its current burn and what changes if the next raise takes longer than planned.
Key-person risk. If the founder or one engineer owns the architecture, support and product continuity may depend on a person who has no formal replacement.
Support depth. A small team may provide excellent attention during a pilot but struggle with incident response, holiday coverage, documentation, or a production issue affecting several customers at once.
Roadmap volatility. A pivot can be sensible for the company and still leave the buyer with a discontinued feature, changed pricing, or an integration that no longer receives maintenance.
Security debt. Shipping speed can outrun identity controls, logging, dependency management, backup testing, and the ability to answer a customer security questionnaire.
Concentrated dependency. A startup may depend on one cloud account, one model provider, one data source, or one external grant. That dependency belongs in your continuity assessment.
Treat these as questions for the startup, not accusations. Mature founders can describe their dependencies, show the controls they have, and state plainly what remains unfinished. Evasion is more concerning than an honest gap with a dated remediation plan. The buyer is looking for operational truth, not a claim that an early-stage company has the same resilience as a large supplier.
What changed in 2026
The funding environment is rewarding evidence of commercial discipline more than growth at any cost. That changes startup procurement. A famous accelerator, a large announced round, or a government programme can be a useful signal, but none substitutes for paying customers, retention, a realistic cost base, and an explanation of how support will be funded. Ask for the date of the last raise, the current revenue model, and what the team expects to achieve before it needs more capital.
Enterprise Singapore's Startup SG programmes continue to support founders, accelerators, talent, and deep-tech commercialisation, while the 2026 expansion of Startup SG Equity adds support for early and growth-stage deep-tech companies. These programmes can strengthen the ecosystem around a supplier. They do not guarantee product-market fit or make a commercial contract risk-free. Verify the specific programme and eligibility instead of treating a government association as an endorsement.
Deep tech needs a longer evidence cycle. Hardware, scientific IP, and regulated workflows often need a pilot structure that separates technical feasibility from commercial deployment.
AI governance is now a buying requirement. For products that make or support decisions, ask for evaluation results, human-oversight controls, data-use boundaries, and a way to investigate a bad output.
Capital efficiency is a continuity signal. A team that can explain gross margin, support load, and the cost of serving your account is easier to underwrite than one that only talks about total addressable market.
Diligence before a pilot
A pilot should reduce uncertainty, not create a small production system with no exit. Write down the decision the pilot is meant to inform and the evidence that will count. A good pilot can show that the product works, the data can be handled safely, the team can support the workflow, and the economics do not become impossible at the next scale step.
Verify the entity. Check the Singapore legal entity, directors, filing history, contracting party, and the entity that actually employs the delivery team.
Ask for two references. Speak with customers who use the product in production, and ask what broke, how quickly it was fixed, and what the customer had to build around it.
Test representative data. Synthetic data can hide the messy fields, language, permissions, and exception cases that determine whether the workflow is useful.
Define security minimums. Cover authentication, access reviews, encryption, logging, backups, incident notification, subprocessors, retention, and deletion before data enters the pilot.
Measure the manual work. Record how much founder or engineering time is needed to configure, correct, and support the workflow. That time is part of the product cost.
Name the production owner. Decide who approves a release, handles an incident, accepts a model or workflow change, and owns the relationship after the pilot team moves on.
The most revealing pilot question is what happens when the happy path ends. Ask the startup to show a failed import, a revoked user, a bad classification, a service outage, and a data export. The product does not need to be perfect. The team does need to know how it behaves when reality stops matching the demo.
Contract and continuity
Contract for the company you have, not the company you hope it becomes. State the service scope, support hours, response targets, change process, and pricing assumptions in terms that still make sense if the customer count doubles. Avoid a vague promise that the startup will keep building. Specify which features are committed, what happens when a roadmap item slips, and whether you can terminate for a material reduction in service.
Your continuity clauses should cover data export in a documented and usable format, deletion confirmation, assistance during transition, ownership of customer-specific configuration, and notice of a sale, change of control, or material discontinuation. For a critical workflow, consider source-code escrow or an equivalent technical continuity arrangement, but only if your team can actually operate what is released. Escrow that nobody can build is theatre.
Keep the data portable. Export records, configuration, audit logs, prompts, evaluation sets, and workflow definitions, not only a spreadsheet of end-user records.
Limit unilateral change. Require notice for material product, subprocessors, data-location, and pricing changes, with a practical termination right where the change increases risk.
Make support measurable. A founder's mobile number is not an incident process. Define severity, acknowledgement, updates, escalation, and post-incident review.
Price the next stage. Ask what happens when the pilot becomes ten times larger, and whether usage, support, storage, or model costs change the business case.
When a startup is the wrong fit
An early-stage supplier is usually the wrong fit when the workload is a system of record, a safety-critical control, a regulated decision, or an operational dependency that cannot tolerate a week of uncertainty. It can also be the wrong fit when the buyer has no internal owner, no ability to test outputs, and no practical path to migrate. Innovation value cannot compensate for an exit the organisation cannot execute.
For those workloads, a startup may still be useful as a bounded component behind an established control plane, with human review and a tested fallback. That is different from making the startup the only party who can access the data, explain the logic, or restore service. Use the startup where its speed creates value, contain the dependency where its immaturity creates risk, and revisit the decision as the evidence changes.
Frequently asked questions
Is it risky to buy from a technology startup?
Yes, but the risk can be bounded. Check runway, paying-customer traction, security maturity, production references, and continuity terms. Start with a reversible workload, define pilot evidence, and keep your data exportable.
How do I assess a startup's runway?
Ask when it last raised, what revenue is recurring, what the current burn supports, and what milestones must be reached before more capital is needed. Treat funding announcements as context, not proof of continuity.
Does Startup SG make a vendor safer?
Startup SG participation can be a useful ecosystem signal, but it is not a product warranty or commercial endorsement. Verify the specific programme, then assess the startup's customers, controls, economics, and exit plan independently.
What should a startup pilot prove?
A pilot should test the real data, exception handling, security controls, support effort, measurable business outcome, and production economics. It should also demonstrate a usable export and a fallback if the service is unavailable.
Which contract terms matter with a startup?
Prioritise data export, deletion, support targets, material-change notice, pricing assumptions, service discontinuation rights, and transition assistance. For critical workloads, consider escrow or another practical continuity mechanism.
Should a startup run a critical business system?
Only with strong controls, an internal owner, a tested fallback, and a migration path you can execute. For many organisations, the safer design is to use the startup for a bounded component rather than the irreplaceable system of record.