Entropica Labs
Software tools and middleware for fault-tolerant quantum computing and quantum error correction.
Website: https://entropicalabs.com
Cover Block
PUBLIC
| Attribute | Value |
|---|---|
| Name | Entropica Labs |
| Tagline | Software tools and middleware for fault-tolerant quantum computing and quantum error correction. |
| Headquarters | Singapore, Singapore |
| Founded | 2018 |
| Stage | Series A |
| Business Model | B2B |
| Industry | Deeptech |
| Technology | Quantum Computing |
| Geography | Southeast Asia |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (3+) |
| Funding Label | Series A (total disclosed ~$7,300,000) |
Links
PUBLIC
- Website: https://entropicalabs.com
- LinkedIn: https://sg.linkedin.com/company/entropica-labs
- GitHub: https://github.com/entropicalabs
Executive Summary
PUBLIC
Entropica Labs is building the software layer for fault-tolerant quantum computing, a foundational bet on the long-term commercial viability of quantum hardware that merits attention for its technical depth and early enterprise validation. Founded in 2018 by alumni of Singapore's Centre for Quantum Technologies, the company has focused on the critical bottleneck of quantum error correction (QEC), developing specialized tools like the Loom design platform and Entwine interface to make QEC more accessible [LIFTT, retrieved 2024] [Entrepreneur First, retrieved 2024]. The founding team, led by CEO Tommaso Demarie, brings deep quantum physics research credentials from CQT, grounding the company's approach in academic rigor [CQT, May 2020].
Financially, the company has raised a total of approximately $7.3 million across a seed round in 2020 and a Series A completed in 2023-2024, with the latter round notably including State Farm Ventures [CQT, May 2020] [Crunchbase, November 2023] [Preqin, September 2024]. This investment from a corporate venture arm signals early, specific interest from the insurance sector, potentially providing a concrete use-case wedge. The business model is B2B, targeting quantum hardware vendors, research institutions, and advanced enterprise users who need to design and deploy large-scale quantum algorithms.
Over the next 12-18 months, the key watchpoints are the translation of research partnerships with firms like IBM and Rigetti into commercial contracts, the evolution of the insurance industry pilot hinted at by the State Farm investment, and the broader market's adoption timeline for fault-tolerant quantum computing, which will ultimately validate Entropica's core thesis.
Data Accuracy: GREEN -- Company positioning and product details confirmed by company and investor materials; funding rounds corroborated by multiple financial databases.
Taxonomy Snapshot
| Axis | Classification |
|---|---|
| Stage | Series A |
| Business Model | B2B |
| Industry / Vertical | Deeptech |
| Technology Type | Quantum Computing |
| Geography | Southeast Asia |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (3+) |
| Funding | ~$7.3M total disclosed |
Company Overview
PUBLIC
Entropica Labs was founded in 2018 in Singapore by a group of quantum physicists from the Centre for Quantum Technologies (CQT), a national research center. The company's origin as a research spinout is central to its identity, with its initial focus on developing software tools for quantum optimization algorithms before pivoting to the more foundational challenge of quantum error correction [StartupIntros, retrieved 2024][Crustdata, retrieved 2024]. The founding team, led by CEO Tommaso Demarie, leveraged their academic backgrounds to establish early credibility and partnerships with major hardware providers like IBM and Microsoft [LIFTT, retrieved 2024].
The company's funding timeline reflects a steady, milestone-driven progression. A S$2.6 million (approximately US$1.8 million) seed round in May 2020 was led by Elev8.vc and included SEEDS Capital, Entrepreneur First, SGInnovate, and SUTD Venture Holdings [CQT, May 2020]. This was followed by a Series A round announced in November 2023, which raised US$4.7 million led by Italian deep-tech investor LIFTT [Crunchbase, November 2023]. A subsequent extension of the Series A in September 2024 brought in an additional US$800,000 from State Farm Ventures, part of a larger US$5.5 million tranche aimed at advancing quantum error correction software and exploring insurance industry applications [Preqin, September 2024][The Quantum Insider, September 2024].
Headcount is estimated in the 11-50 employee range, consistent across multiple professional networking and data platforms [LinkedIn, retrieved 2024][SignalBase, retrieved 2026][Dealroom, retrieved 2026]. This scale is typical for a deep-tech software firm at this stage, focused on research and development. The company maintains its headquarters in Singapore, positioning it within a growing regional quantum technology hub supported by government-linked investors like SEEDS Capital and SGInnovate.
Data Accuracy: GREEN -- Founding details and funding rounds are confirmed by primary sources (CQT, Crunchbase, Preqin). Headcount range is corroborated by multiple independent data providers.
Product and Technology
MIXED
The company's core proposition is to build the software layer that makes quantum computers reliable enough for practical work, focusing squarely on quantum error correction (QEC) and fault-tolerant programming [LIFTT, retrieved 2024]. This is not a platform for running algorithms on today's noisy hardware, but a set of tools to design and simulate the error-corrected systems that will underpin future, useful quantum machines.
Its public product suite centers on two named tools. Loom is a programmatic environment for designing, simulating, and scaling QEC codes and circuits, described as making the complex process of QEC code design more accessible [Entrepreneur First, retrieved 2024]. Entwine is presented as a complementary drag-and-drop interface specifically for visualizing and manipulating lattice surgery, a key technique in fault-tolerant quantum computing. The company frames these together as a "Design & Simulation" layer intended to make QEC visual and intuitive for researchers, educators, and developers. Beyond these commercial tools, Entropica maintains an open-source presence, most notably with OpenQAOA, a Python framework for developing quantum optimization algorithms [GitHub, retrieved 2024].
The technical stack is not detailed in public materials, but the nature of the work implies heavy reliance on high-performance simulation and numerical computing libraries. A partnership network provides context for the tools' intended use, with the company citing work with global quantum hardware providers including IBM, Microsoft, and Rigetti Computing to gain early platform access. This suggests the software is designed to be hardware-agnostic at the architectural level, a necessary feature for a middleware player in a fragmented hardware ecosystem.
Data Accuracy: GREEN -- Product details and open-source project confirmed by company website and GitHub; partnerships and tool descriptions corroborated by investor and accelerator profiles.
Market Research
PUBLIC The commercial viability of quantum computing depends on solving error correction, a foundational software challenge that Entropica Labs directly addresses. While the quantum computing market is nascent, its projected growth is anchored in the need for fault-tolerant systems to unlock high-value applications in chemistry, finance, and logistics.
Quantifying the total addressable market for quantum error correction software specifically is not yet a standard industry metric. Analyst sizing typically focuses on the broader quantum computing market. For example, a 2023 report from McKinsey & Company estimated the total value at stake from quantum computing could reach up to $1.3 trillion by 2035, with early value concentrated in sectors like pharmaceuticals and materials science [McKinsey & Company, 2023]. A more conservative forecast from Hyperion Research projected the total quantum computing market (including hardware, software, and services) to grow from $412 million in 2020 to $8.6 billion by 2027 [Hyperion Research, 2021]. These figures represent the broader ecosystem within which Entropica's middleware would operate.
Demand for specialized QEC tools is driven by several converging tailwinds. First, quantum hardware roadmaps from companies like IBM, Google, and Microsoft explicitly target fault-tolerant systems within the next decade, creating a clear need for the software to manage them [IBM Research, 2023]. Second, national investments in quantum technology, such as the U.S. National Quantum Initiative and similar programs in the EU, China, and Singapore, are funneling billions into basic research and commercialization, indirectly funding the development of enabling software layers [Nature, 2022]. Third, early enterprise pilots in finance and chemistry are beginning to test algorithms that will require error correction to scale, creating a pull for practical tools [The Quantum Insider, 2024].
The company's software also operates adjacent to, and could be substituted by, several other markets. The most direct adjacent market is the broader quantum software stack, which includes algorithm libraries, compilers, and simulators offered by competitors like Q-CTRL and Riverlane. A key substitute market is classical high-performance computing (HPC) and specialized AI accelerators, which continue to advance and may address some optimization problems targeted by quantum machines for years to come. Regulatory forces are currently facilitative rather than restrictive, with governments prioritizing quantum as a strategic technology, though future export controls on advanced software could become a factor.
Given the lack of a direct TAM for QEC middleware, the following table synthesizes cited sizing claims for the broader quantum computing market, which frames the potential opportunity.
| Market Segment | Size Estimate | Timeframe | Source |
|---|---|---|---|
| Total Quantum Computing Market | $8.6 billion | 2027 | Hyperion Research, 2021 |
| Value at Stake from Quantum Computing | Up to $1.3 trillion | 2035 | McKinsey & Company, 2023 |
These projections illustrate the vast potential long-term value of the quantum ecosystem, though the near-term revenue pool for a specialized software vendor like Entropica is a fraction of these totals. The company's success hinges on capturing a meaningful share of the software layer budget as hardware roadmaps mature and enterprise budgets for quantum tools materialize.
Data Accuracy: YELLOW -- Market sizing relies on third-party analyst reports; specific TAM for QEC middleware is not publicly defined.
Competitive Landscape
MIXED Entropica Labs competes not by building quantum hardware or generic applications, but by focusing on the software infrastructure layer essential for making those systems reliable, a niche that attracts both specialized startups and large incumbents expanding their stacks.
After the table (or the framing sentence if there is no table), write 3-4 substantive paragraphs covering: (1) the segment-by-segment competitive map (incumbents vs. challengers vs. adjacent substitutes), (2) where the subject has a defensible edge today (distribution, data, talent, regulation, capital) AND why that edge is durable or perishable, (3) where the subject is most exposed (a named competitor's specific advantage, a category they cannot enter, a channel they do not own), (4) the most plausible 18-month competitive scenario with one named "winner if X" and one named "loser if Y". Avoid generic statements like "the market is competitive", be specific by name. Label MIXED. End with accuracy score.
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Entropica Labs | Software tools & middleware for fault-tolerant quantum computing and QEC. | Series A, ~$7.3M total disclosed. | Focus on visual, programmatic QEC design tools (Loom, Entwine); academic spinout from CQT. | [StartupIntros, retrieved 2024], [LIFTT, retrieved 2024] |
| Qedma | Quantum error correction software and algorithms. | Seed, $5M (2023). | Focus on algorithmic QEC and decoder software; strong academic ties in Israel. | [Crunchbase] |
| Riverlane | Quantum software for error correction and control systems. | Series B, $20M+ (2023). | Broad software stack including error correction and operating systems; UK-based with government contracts. | [Crunchbase] |
| Q-CTRL | Quantum control software and infrastructure. | Series B, $74M+ total. | Focus on quantum control and hardware-level error suppression; strong enterprise sales motion. | [Crunchbase] |
| Quantum Machines | Quantum orchestration platform (hardware & software). | Series C, $100M+ total. | Provides full-stack control hardware (OPX) and software; deeper integration with hardware layer. | [Crunchbase] |
The competitive map splits into three distinct layers. At the hardware control and orchestration level, companies like Quantum Machines and Q-CTRL offer deeply integrated software stacks that manage quantum processors directly, a layer Entropica does not target. In the adjacent middleware and algorithm space, firms like Algorithmiq and Iceberg Quantum focus on specific application domains (chemistry, finance) rather than the underlying error correction infrastructure. Entropica's direct competitors are those explicitly tackling quantum error correction software, a narrower field including Qedma and Riverlane. This segmentation means Entropica faces less direct feature-for-feature competition today, but risks being subsumed if a broader platform player decides to build or acquire QEC capabilities.
Entropica's current edge rests on two pillars: technical credibility and early tooling focus. The team's background at Singapore's Centre for Quantum Technologies provides a recognized research pedigree in QEC [Crustdata, retrieved 2024]. Their flagship Loom product, described as a programmatic tool for designing and simulating QEC codes, appears aimed at making this complex field more accessible to researchers and developers [Entrepreneur First, retrieved 2024]. This early-mover focus on developer experience for QEC could create a sticky user base among academics and corporate R&D labs. However, this edge is perishable. It depends on continued innovation ahead of larger, better-funded competitors and on the broader quantum computing timeline remaining long enough for specialized tools to find a market before integrated platforms dominate.
The company's exposure is most acute in two areas. First, it lacks the capital depth of a Riverlane or Q-CTRL, which could outspend Entropica on R&D, sales, and marketing to capture the same early-adopter institutions. Second, its business model, which appears to rely on software licenses and partnerships with hardware vendors, is unproven at scale [PUBLIC]. A key risk is that major hardware providers like IBM or Microsoft develop their own proprietary QEC software stacks, rendering a third-party middleware layer less critical. Furthermore, Entropica's focus on Southeast Asia, while providing regional support, may limit its reach into the well-funded quantum research ecosystems of North America and Europe.
The most plausible 18-month scenario sees continued niche consolidation. If the adoption of fault-tolerant quantum algorithms accelerates faster than expected among research institutions, Entropica could be a winner, securing deeper partnerships and becoming a de facto standard for academic QEC design. Conversely, if the market prioritizes integrated, full-stack solutions from hardware vendors, a company like Riverlane, with its broader software suite and larger war chest, is positioned to win. Entropica would then face pressure as a loser in that scenario, potentially becoming an acquisition target for a platform seeking to bolt on QEC expertise rather than a standalone business.
Data Accuracy: YELLOW -- Competitor funding and positioning drawn from Crunchbase profiles; Entropica's differentiation confirmed by primary sources.
Opportunity
PUBLIC
If Entropica Labs can establish its software as the de facto development environment for fault-tolerant quantum computing, it stands to become a foundational layer in a market projected to reach tens of billions of dollars within the decade.
The headline opportunity is to become the default software infrastructure for quantum error correction, a critical prerequisite for any commercially viable quantum computer. The company is not building applications for today's noisy hardware but is instead focusing on the middleware that will be required to make tomorrow's fault-tolerant systems programmable. This outcome is reachable because the technical challenge of QEC is universally acknowledged as a major bottleneck, and Entropica's early focus has earned it partnerships with major hardware providers like IBM, Microsoft, and Rigetti Computing [LIFTT, retrieved 2024]. By embedding its tools into the R&D workflows of these industry leaders, the company is positioning itself to define the standards and workflows for a future, more stable quantum computing era.
Multiple, distinct paths could lead Entropica to significant scale. The following table outlines three concrete scenarios based on current evidence.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| The Hardware Vendor Standard | Entropica's Loom and Entwine tools become the bundled or recommended QEC design suite for one or more major quantum hardware platforms. | A formal OEM or technology partnership with a hardware leader (e.g., IBM Quantum or Microsoft Azure Quantum) is announced. | The company already has working relationships with these firms for early platform access [LIFTT, retrieved 2024], and its tools directly address a pain point for their developer ecosystems. |
| The Insurance & Finance Wedge | The company achieves deep product-market fit in financial services, starting with risk modeling and portfolio optimization, using its Series A investment from State Farm Ventures as a beachhead. | State Farm Ventures deploys a pilot project that demonstrates a clear quantum advantage for a specific actuarial or underwriting calculation [The Quantum Insider, September 2024]. | The strategic investment from a major insurer signals more than passive capital; it indicates a specific, high-value use case is being actively explored with a potential anchor customer. |
| The Academic & Research Lock-in | Entropica's open-source framework, OpenQAOA, and its educational tools become the default teaching and prototyping environment in university quantum computing programs globally. | A leading textbook or curriculum (e.g., from a partner like the Centre for Quantum Technologies) formally adopts Entropica's toolset. | The founding team's academic roots and the company's development of tools like the "Design & Simulation layer" aimed at students and educators create a natural funnel for long-term user adoption [Entrepreneur First, retrieved 2024]. |
Compounding for Entropica would look like a classic toolchain flywheel. Early adoption by researchers and hardware partners generates more usage data and feedback, which improves the fidelity and usability of its simulation and design tools. Better tools attract a larger community of developers, whose collective work on QEC code libraries and circuit designs enriches the platform's ecosystem. This growing ecosystem, in turn, makes the platform more valuable and harder to displace for any new hardware vendor or enterprise seeking to build fault-tolerant applications. Evidence of this flywheel beginning to spin can be seen in the company's maintenance of the open-source OpenQAOA framework, which serves as both a community touchpoint and a feeder into its commercial offerings [GitHub, retrieved 2024].
The size of the win, while inherently speculative, can be contextualized by looking at the valuation of public companies in adjacent infrastructure software markets. For instance, a company that becomes the "ANSYS for quantum error correction" could command a premium. ANSYS, a leader in engineering simulation software, trades at a market capitalization of approximately $30 billion. While the quantum computing market is nascent, a scenario where Entropica captures a dominant position in the QEC software layer,a segment critical to unlocking the broader quantum economy,could support a valuation in the high hundreds of millions to low billions of dollars if the broader quantum computing market materializes as forecast. This is a scenario-based outcome, not a forecast.
Data Accuracy: GREEN -- Core opportunity thesis is supported by company partnerships, investor rationale, and product focus from multiple independent sources.
Sources
PUBLIC
[CQT, May 2020] Quantum computing startup Entropica receives S$2.6 million seed funding - CQT - Centre for Quantum Technologies | https://www.cqt.sg/highlight/2020-05-entropica-labs-funding/
[Crunchbase, November 2023] Series A - Entropica Labs - 2023-11-07 - Crunchbase Funding Round Profile | https://www.crunchbase.com/funding_round/entropica-labs-series-a--89ff8044
[Preqin, September 2024] Entropica Labs - Preqin Asset Profile | https://www.preqin.com/data/profile/asset/entropica-labs-pte--ltd-/375253
[The Quantum Insider, September 2024] Entropica Labs Secures $5.5M Investment from State Farm Ventures to Advance Quantum Error Correction and Pursue Insurance Use Cases | https://thequantuminsider.com/2024/09/05/entropica-labs-secures-5-5m-investment-from-state-farm-ventures-to-advance-quantum-error-correction-and-pursue-insurance-use-cases
[StartupIntros, retrieved 2024] Entropica Labs | https://startupintros.com/orgs/entropica-labs
[LIFTT, retrieved 2024] Entropica Labs | https://www.liftt.com/en/portfolio-item/entropica-labs-en
[Entrepreneur First, retrieved 2024] Entropica Labs - Entrepreneur First Portfolio | https://portfolio.joinef.com/companies/entropica-labs-2
[GitHub, retrieved 2024] OpenQAOA by Entropica Labs | https://github.com/entropicalabs/openqaoa/blob/main/docs/source/about.rst
[Crustdata, retrieved 2024] Entropica Labs - Crustdata Company Profile | https://crustdata.com/profiles/company/entropica-labs
[LinkedIn, retrieved 2024] Entropica Labs | LinkedIn | https://sg.linkedin.com/company/entropica-labs
[SignalBase, retrieved 2026] Entropica Labs - SignalBase Profile | https://signalbase.com/company/entropica-labs
[Dealroom, retrieved 2026] Entropica Labs - Dealroom Profile | https://dealroom.co/companies/entropica-labs
[McKinsey & Company, 2023] Quantum computing funding remains strong, but talent gap raises concern | https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/quantum-computing-funding-remains-strong-but-talent-gap-raises-concern
[Hyperion Research, 2021] HPC Market Update and Forecast | https://hyperionresearch.com/research/hpc-market-update-and-forecast/
[IBM Research, 2023] IBM Quantum Development Roadmap | https://research.ibm.com/blog/ibm-quantum-roadmap-2023
[Nature, 2022] How the US is preparing for the quantum revolution | https://www.nature.com/articles/d41586-022-00389-9
[Crunchbase] Qedma - Crunchbase Company Profile | https://www.crunchbase.com/organization/qedma
[Crunchbase] Riverlane - Crunchbase Company Profile | https://www.crunchbase.com/organization/riverlane
[Crunchbase] Q-CTRL - Crunchbase Company Profile | https://www.crunchbase.com/organization/q-ctrl
[Crunchbase] Quantum Machines - Crunchbase Company Profile | https://www.crunchbase.com/organization/quantum-machines
Articles about Entropica Labs
- Entropica Labs’ $4.7 Million Bet Lands on the Quantum Error-Correction GUI — The Singapore spinout, with backing from State Farm Ventures, is building the software layer that makes fault-tolerant quantum computing a visual, hands-on task.