Haiqu
Quantum computing software enhancing performance of modern quantum hardware
Website: https://haiqu.ai/
Cover Block
PUBLIC
| Field | Value |
|---|---|
| Name | Haiqu |
| Tagline | Quantum computing software enhancing performance of modern quantum hardware |
| Headquarters | San Francisco, United States |
| Founded | 2022 |
| Stage | Seed |
| Business Model | API / Developer Platform |
| Industry | Deeptech |
| Technology Type | Quantum Computing |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding Label | Seed |
| Total Disclosed | ~$11,000,000 [SiliconANGLE, Jan 2026] |
Links
PUBLIC
- Website: https://haiqu.ai/
- LinkedIn: https://www.linkedin.com/company/haiquai
- Crunchbase: https://www.crunchbase.com/organization/haiqu
- Careers: https://apply.workable.com/haiqu-inc/?lng=en
Executive Summary
PUBLIC
Haiqu is a San Francisco quantum software company building what it calls a hardware-aware operating system, a middleware layer designed to squeeze more useful computation out of the noisy quantum processors that exist today rather than waiting for fault-tolerant hardware that remains years away [SiliconANGLE, Jan 2026]. The company was founded in 2022 by Richard Givhan, an engineer trained at Stanford, and Mykola Maksymenko, a quantum researcher whose career spans the Max Planck Society and the Weizmann Institute of Science [TechFundingNews]. In January 2026 the team disclosed an $11 million seed round backed by Primary Venture Partners, Qudit Investments, Alumni Ventures, Collaborative Fund, Silicon Roundabout Ventures, Toyota Ventures and MaC Venture Capital [SiliconANGLE, Jan 2026]. The product thesis centers on circuit compression, error mitigation and workload orchestration that lets enterprises run larger problems on current-generation processors from vendors such as IBM, with the company reporting demonstrations on the IBM Quantum Heron processor for financial anomaly detection workloads [SiliconANGLE, Jan 2026]. Headcount is reported at over 20 researchers, weighted toward applied quantum and machine learning talent recruited from European and Ukrainian research institutions [Venture Views]. The investor relevance, in plain terms, is that Haiqu is wagering that the bottleneck for quantum value creation in the next 36 months is software, not qubits. Over the next 12 to 18 months the questions worth tracking are paid enterprise design partners, hardware vendor integrations beyond IBM, and whether the seed capital is enough to reach a Series A milestone in a category where competing software stacks come from much larger incumbents.
Data Accuracy: GREEN -- Confirmed by SiliconANGLE and TechFundingNews with corroboration from Crunchbase and LinkedIn.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Seed |
| Business Model | API / Developer Platform |
| Industry / Vertical | Deeptech / Quantum Computing |
| Technology Type | Quantum Computing software (hardware-aware middleware) |
| Geography | North America (San Francisco HQ, distributed research team) |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2): technical + research |
| Funding | Seed, ~$11M disclosed [SiliconANGLE, Jan 2026] |
Company Overview
PUBLIC
Haiqu was incorporated in 2022 by Richard Givhan and Mykola Maksymenko with the stated goal of making near-term quantum hardware commercially useful before the industry crosses the fault-tolerant threshold [TechFundingNews] [Crunchbase]. The company is headquartered in San Francisco and operates with a distributed research footprint that draws heavily on Ukrainian and European quantum talent, a pattern reflected in publicly visible team profiles on LinkedIn and in coverage describing Haiqu as a Ukrainian-American startup [InVenture] [LinkedIn - Vladyslav L., 2026].
The founding narrative follows a familiar deeptech pattern: a commercially oriented engineer paired with a research-trained physicist. Givhan is profiled as Founder and CEO [FundBat], while Maksymenko serves as CTO and previously led research and development at SoftServe Inc., one of the larger software services firms with Ukrainian roots [InVenture] [Venture Views]. That R&D leadership background is relevant because building a quantum software stack requires sustained applied research output rather than rapid product iteration, and SoftServe's quantum practice was an early commercial proving ground for similar work.
The key public milestone to date is the January 2026 seed financing of $11 million, announced with a syndicate that mixes deeptech specialists (Qudit Investments, Silicon Roundabout Ventures), strategic corporate capital (Toyota Ventures), and generalist early-stage funds (Primary Venture Partners, Collaborative Fund, MaC Venture Capital, Alumni Ventures) [SiliconANGLE, Jan 2026] [CIO Influence]. Reported team scale stands at over 20 researchers, with at least one team member, Maxence Grandadam, recognized at the IBM Quantum Developer Conference 2025 [Venture Views].
Data Accuracy: GREEN -- Confirmed by SiliconANGLE, TechFundingNews, Crunchbase and InVenture.
Product and Technology
MIXED
Haiqu's product is positioned as a hardware-aware software stack, described in press coverage as an operating system for quantum applications [SiliconANGLE, Jan 2026] [PUBLIC] [UA Tech Journal] [PUBLIC]. The company's own marketing frames it more colloquially as "careful software for clumsy quantum computers" [LinkedIn]. Translated into investor language, the stack sits between a developer's high-level circuit description and the physical quantum processor, applying compression, error mitigation and workload-shaping techniques so that programs which would otherwise exceed the depth or fidelity budget of today's hardware can still produce usable output.
The most concrete technical claim in public sources is a demonstration of improved anomaly detection and pattern recognition on complex financial datasets, executed using quantum preprocessing on IBM's Quantum Heron processor [SiliconANGLE, Jan 2026] [PUBLIC]. Heron is IBM's current-generation 156-qubit processor, and a software layer that meaningfully extends what can be run on it is commercially relevant because IBM Quantum Network customers are the largest captive enterprise audience for near-term quantum experimentation. Haiqu has not publicly disclosed benchmark numbers, fidelity uplift percentages, or named paying customers in the cited reporting, so the strength of the demonstration is, for now, taken on the company's word and IBM's hosting relationship rather than third-party benchmarks.
The team composition reinforces the technical positioning. Public LinkedIn profiles identify researchers working on quantum machine learning (Vladyslav L.), engineering (Oleksa Hryniv as Junior Research Engineer, Volodymyr Serhieiev) and applied algorithm work (Maxence Grandadam) [LinkedIn - Vladyslav L., 2026] [LinkedIn - Oleksa Hryniv, 2026] [PRIVATE]. The company is actively hiring through a Workable-hosted careers page, suggesting continued team expansion beyond the reported 20-person research footprint [Venture Views] [PRIVATE]. No public GitHub organization, SDK release or pricing page has been identified in the cited sources, which is consistent with a stealth-to-design-partner go-to-market typical of seed-stage deeptech.
Data Accuracy: YELLOW -- Product positioning confirmed by SiliconANGLE and the company's own LinkedIn; specific performance claims rest on company-supplied descriptions without independent benchmark publication.
Market Research and Opportunity
PUBLIC
The quantum computing market matters now because the gap between hardware capability and useful application has become the binding constraint, and software that closes that gap is where near-term commercial value is most likely to accrue.
The structured facts available for Haiqu do not include a third-party TAM figure for quantum software specifically, so any sizing here is offered as analogous context rather than a sourced market estimate. Public industry tracking from McKinsey, BCG and IDC has consistently placed the addressable quantum computing market in the low tens of billions of dollars by the early 2030s on aggressive scenarios, with software and services capturing a meaningful but minority share of that figure (analogous market context, not a Haiqu-specific source). What is directly observable from the Haiqu reporting is the demand-side signal: a Toyota Ventures check, in particular, indicates that at least one strategic corporate is willing to fund near-term quantum software access as an option on future advantage [SiliconANGLE, Jan 2026].
Three demand drivers surface from the cited research. First, hardware vendors including IBM, IonQ, Quantinuum and Rigetti are now shipping processors at scales (100 to 1000+ physical qubits) where workload orchestration matters more than raw qubit count, which is precisely the layer Haiqu targets [SiliconANGLE, Jan 2026]. Second, regulated industries with combinatorial or pattern-recognition problems, finance most prominently, are funding pilots, and Haiqu's own demonstration on financial datasets fits that wedge [SiliconANGLE, Jan 2026]. Third, the broader AI infrastructure capital cycle has trained enterprise buyers to pay for middleware that abstracts away vendor-specific complexity, a pattern that maps cleanly onto a hardware-aware quantum OS.
Adjacent and substitute markets deserve a mention. The most direct substitute for a third-party quantum middleware layer is the first-party software stack offered by each hardware vendor: IBM Qiskit, NVIDIA CUDA-Q, Quantinuum's stack, and similar offerings. Classical high-performance computing and GPU-accelerated simulation also compete for the same enterprise budget when problems are not yet large enough to require quantum execution. Regulatory and macro forces are presently mild for software vendors of this type; export-control attention has focused on quantum hardware and cryogenics rather than middleware, which is favorable for Haiqu's commercial freedom of movement but could change as the category matures.
| Sizing claim | Value | Source |
|---|---|---|
| Haiqu seed capital raised | $11M | [SiliconANGLE, Jan 2026] |
| Reported research headcount | 20+ | [Venture Views] |
| Demonstrated hardware target | IBM Quantum Heron (156 qubits) | [SiliconANGLE, Jan 2026] |
The analyst takeaway is that the cited evidence supports a directional rather than quantitative market thesis: Haiqu has a credible wedge in financial-services workloads on IBM hardware, but the absence of a published TAM source specific to quantum middleware means investors should treat market-size narratives in this category as scenario-dependent.
Data Accuracy: YELLOW -- Demand-side signals are confirmed by SiliconANGLE and CIO Influence; market sizing is analogous, not Haiqu-specific.
Competitive Landscape
MIXED
Haiqu is one of a small but growing cohort of independent quantum software companies positioned between hardware vendors and enterprise end users, and its defensibility hinges on whether hardware-aware compilation becomes a distinct layer or gets absorbed into the vendors' own stacks.
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Haiqu | Hardware-aware quantum OS / middleware | Seed, ~$11M | Compression and error-mitigation stack demonstrated on IBM Heron for financial workloads | [SiliconANGLE, Jan 2026] |
| 1QBit | Quantum and quantum-inspired software for enterprise | Later-stage private | Long-standing enterprise relationships in finance and life sciences | [Crunchbase] |
The competitive map breaks into three groups. Incumbents are the hardware vendors themselves, IBM with Qiskit, Quantinuum with its integrated stack, and NVIDIA with CUDA-Q on the simulation and hybrid side. These players bundle software with access to their hardware and have a structural distribution advantage with their own customer bases. Independent challengers are companies like 1QBit, Classiq, Zapata's successors, and Multiverse Computing, which have built application-layer or compilation-layer products and pursued enterprise deals directly. Adjacent substitutes are classical optimization and HPC vendors, which absorb workloads whenever a quantum approach fails to demonstrate clear advantage.
Haiqu's defensible edge today, based on the cited evidence, sits in three places. The first is technical talent density: a research team of 20-plus drawn from Max Planck, Weizmann, and SoftServe's quantum practice is non-trivial to replicate at seed scale [TechFundingNews] [Venture Views]. The second is a focused wedge on near-term, hardware-aware optimization rather than a broad applications portfolio, which is easier to benchmark and easier to sell as middleware rather than as a consulting engagement. The third is a syndicate that combines deeptech specialists with a strategic corporate (Toyota Ventures), which provides both technical credibility and at least one channel for enterprise validation [SiliconANGLE, Jan 2026]. The durability of these edges is mixed: talent density compounds if retention holds, but a wedge product is perishable if a hardware vendor ships equivalent first-party functionality.
The most exposed flank is precisely that vendor-stack risk. IBM has both the incentive and the capability to fold hardware-aware compilation into Qiskit, and any Haiqu customer running on IBM hardware will face an annual decision about whether to keep paying for a third-party layer. The company also does not, on public evidence, own a distribution channel of its own; it depends on enterprise procurement cycles that are slow and on vendor partnerships that are not exclusive. The 18-month scenario worth watching: Haiqu wins if it converts the IBM Heron demonstration into two or three named, paid enterprise design partners in financial services and signs a second hardware vendor integration, in which case the middleware thesis is validated and a Series A becomes accessible. Haiqu loses ground if IBM ships materially better native compilation in the same window and no second vendor integration is announced, in which case the company faces a harder narrative entering its next round.
Data Accuracy: YELLOW -- Subject row and 1QBit confirmed via SiliconANGLE and Crunchbase; broader category mapping is analyst-constructed from public knowledge of named competitors.
Opportunity
PUBLIC
The size of the prize, if Haiqu executes, is becoming the default middleware layer for enterprise quantum workloads in the period before fault-tolerant hardware arrives, a window that could last five to ten years.
The headline opportunity. The single largest plausible outcome for Haiqu is to become the cross-vendor software layer that enterprises standardize on when they move from quantum experimentation to production pilots. The cited evidence makes this reachable rather than aspirational for three specific reasons: the IBM Heron demonstration on financial datasets establishes a real workload on a real shipping processor [SiliconANGLE, Jan 2026]; the investor syndicate combines a strategic corporate (Toyota Ventures) with deeptech specialists, providing both validation and patient capital [SiliconANGLE, Jan 2026]; and the team's research density, anchored by a CTO with Max Planck and Weizmann credentials and prior commercial R&D leadership at SoftServe, is at the level required to publish, recruit, and partner credibly [TechFundingNews] [Venture Views]. The category itself is still pre-standardization, and the company that ships the most reliable hardware-aware tooling first has a real chance of defining the abstraction layer.
Growth scenarios.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Financial-services beachhead | Haiqu becomes the de facto preprocessing layer for quantum pilots at two to three tier-one banks | Conversion of the IBM Heron anomaly-detection demonstration into named design partners | Demonstration already executed on production hardware [SiliconANGLE, Jan 2026] |
| Multi-vendor middleware | Haiqu integrates with a second and third hardware vendor beyond IBM, becoming the portable abstraction layer for enterprise workloads | Public integration announcement with an ion-trap or neutral-atom vendor | Hardware-aware framing in current product positioning is vendor-agnostic by design [SiliconANGLE, Jan 2026] |
| Strategic corporate channel | Toyota Ventures and similar strategics route internal optimization workloads (logistics, materials, mobility) through Haiqu's stack | Pilot announcement with a Toyota Ventures portfolio company or parent | Toyota Ventures participation in the seed signals strategic interest beyond pure financial return [SiliconANGLE, Jan 2026] |
What compounding looks like. The flywheel for a quantum middleware company is workload-driven. Each enterprise problem that runs successfully through Haiqu's stack generates calibration data, error profiles and circuit patterns specific to a given hardware target. That accumulated knowledge improves the next workload, which is the quantum-software analogue of the data moats that have built defensibility in classical AI infrastructure. The cited evidence that the flywheel is already starting is thin but directional: a published demonstration on Heron, a research team of 20-plus generating internal IP, and at least one award-recognized algorithms researcher (Maxence Grandadam at the IBM Quantum Developer Conference 2025) [Venture Views]. Distribution lock-in, if it comes, will come through hardware-vendor partnerships rather than direct enterprise sales, which is a slower compounding curve but a stickier one.
The size of the win. A credible comparable for a successful independent middleware play in deeptech is the trajectory of classical HPC and AI infrastructure software companies that became standard layers in their categories, where late-stage private valuations into the low single-digit billions and strategic acquisition multiples in the same range are observable in public reporting (analogous category benchmark, not a Haiqu-specific source). Translated into a Haiqu scenario, if the financial-services beachhead and multi-vendor middleware scenarios both play out within 36 months, the company would plausibly be a candidate for a nine-figure Series B and an outcome in the high-hundreds-of-millions to low-billions range on either a strategic acquisition by a hardware vendor or an independent growth path (scenario, not a forecast). The downside framing, which the private half of this report addresses in detail, is that quantum software has historically taken longer to monetize than software investors expect, and the seed capital base of $11 million implies a hard milestone gate within 18 to 24 months.
Data Accuracy: YELLOW -- Headline opportunity and growth scenarios are anchored to confirmed facts in SiliconANGLE and TechFundingNews; size-of-win comparables are analogous and explicitly labelled as scenarios.
Sources
PUBLIC
[SiliconANGLE, Jan 2026] Quantum software startup Haiqu raises $11M to launch hardware-aware operating system | https://siliconangle.com/2026/01/13/quantum-software-startup-haiqu-raises-11m-launch-hardware-aware-operating-system/
[TechFundingNews] Startup in spotlight: Haiqu raises $11M to unlock near-term quantum apps | https://techfundingnews.com/haiqu-raises-11m-seed-quantum-os/
[Crunchbase] Haiqu - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/haiqu
[LinkedIn] Haiqu company page | https://www.linkedin.com/company/haiquai
[Haiqu] Run future-perfect quantum applications | https://haiqu.ai/
[ZoomInfo] Haiqu - Overview, News & Similar companies | https://www.zoominfo.com/c/haiqu/566153542
[UA Tech Journal] Haiqu Raises $11M Seed for Quantum Operating System | https://www.uatechjournal.com/haiqu-raises-11m-seed-to-launch-quantum-operating-system/
[FundBat] Richard Givhan - Founder & CEO of Haiqu | https://fundbat.com/founder/richard-givhan/
[InVenture] Ukrainian-American Startup Haiqu Raises $11 Million to Develop Software for Quantum Computers | https://inventure.com.ua/en/news/ukraine/ukrainian-american-startup-haiqu-raises-dollar11-million-to-develop-software-for-quantum-computers
[CIO Influence] Haiqu Raises $11 Million in Seed Round to Enable Near-Term Quantum Use-Cases with New Operating System | https://cioinfluence.com/quantum-computing/haiqu-raises-11-million-in-seed-round-to-enable-near-term-quantum-use-cases-with-new-operating-system/
[LinkedIn - Volodymyr Serhieiev, 2026] Volodymyr Serhieiev - Haiqu | https://www.linkedin.com/in/volodymyrsergeyev/
[LinkedIn - Vladyslav L., 2026] Vladyslav L. - Enabling quantum computing at Haiqu | https://www.linkedin.com/in/vladyslav-los/
[LinkedIn - Oleksa Hryniv, 2026] Oleksa Hryniv - Junior Research Engineer - Haiqu | https://www.linkedin.com/in/oleksa-hryniv-49604120b/
[Venture Views] Haiqu team and funding overview | https://inventure.com.ua/en/news/ukraine/ukrainian-american-startup-haiqu-raises-dollar11-million-to-develop-software-for-quantum-computers
[Haiqu Careers] Current Openings | https://apply.workable.com/haiqu-inc/?lng=en
Articles about Haiqu
- Haiqu Wants to Squeeze Useful Work Out of Today's Clumsy Quantum Chips — The San Francisco startup raised $11M to ship a hardware-aware software layer for processors like IBM's Quantum Heron.