Quantum Boost
Entrepreneur First '21Singapore, SG · Founded 2021 · 2 known investors
Quantum Boost offers an AI formulation assistant that helps R&D teams develop chemicals and materials, using AI algorithms to speed up formulation, experimental design, and data analysis. It targets product developers working on chemical and materials research.
Also known as Quantum Boost · Quantum Boost Platform
Founders & leadership
Quantum Boost was founded in 2021 by Filip Auksztol and Kacper Kielak.
Investors · 2
Company profile
researched Aug 2026Quantum Boost provides a software platform that acts as an AI formulation assistant for research and development teams developing chemicals and materials. The product lets formulators define a project by setting goals (target responses such as viscosity, surface tension or resistivity, to be minimized, maximized or matched to a target value) and factors, which can be ingredients making up 100% of a formulation, continuous process variables such as temperature, pressure or flow rate, or categorical variables such as mixing method or catalyst type. Factors can be marked as controlled or uncontrolled and constant or ranged, with ranges bounding the algorithmic suggestions. Goals and factors can be changed mid-project without invalidating existing data, which the company presents as useful when supply-chain constraints force ingredient substitutions.
The platform supports two constraint types: sum constraints, which limit the collective quantity or cost of a group of factors (for example, total solvent content at or below 40%, or formulation cost under $150 per 100g), and group constraints, which restrict how many items may be selected from a category of ingredients. Users add past experiments either manually or by importing experiments from other projects in their organization; these feed the model that generates suggestions for the next experiments. The interface provides visual cues, turning response cells green when goals are met and sum-constraint columns red when violated. Alongside experiment suggestion, the company markets AI-powered analytics for interpreting experimental data.
Quantum Boost markets the platform for inks, paints and coatings (formulation, scale-up, stability testing), pharmaceuticals (synthesis route optimisation, formulation with excipients) and specialty chemicals (formulation, synthesis and process optimisation). The website claims formulation 5x faster than standard Design of Experiments.
Business model
Software-as-a-service sold on self-serve and enterprise subscription plans, with a free trial funnel and a sales-led demo request path for larger organizations.
Tiered subscriptions: a free 14-day full-platform trial limited to one user per organization; a Starter plan at $95 per month covering one active project, one user, unlimited suggestions with two suggestions at a time, limited support, scatter-plot access, and no probability-of-achieving-targets or group constraints; and a custom-priced Enterprise plan billed yearly (with two free months) offering a custom number of active projects, unlimited users and support, ten suggestions at once, all plots, probability of achieving targets and configurable group constraints.
Traction
Publicly available evidence of traction is limited. The website self-describes as VC backed, and the company appears in the Entrepreneurs First portfolio directory. No customer counts, revenue figures or named users are disclosed in the sources.
Latest developments
The most recent dated company material in the sources is a September 2023 blog tutorial on using the platform; site pages carry a 2023 copyright notice.
▸Full profile — market position, technology, go-to-market, geography, risks & controversies
Market position
An early-stage venture-backed startup in AI-assisted formulation and experimental design, competing with established design-of-experiments statistical software identified in its own demo form (JMP, Design Expert, Minitab, MODDE).
Positioned as an alternative to conventional Design of Experiments tools, on the basis that Bayesian Optimization handles high-dimensional, non-linear and non-convex factor spaces where standard DoE software can fail, plus support for adaptive goals and factors mid-project, sum and group constraints reflecting real-world cost and formulation limits, and reuse of an organization's existing experimental data.
Technology
The platform applies artificial intelligence algorithms, specifically Bayesian Optimization, to navigate high-dimensional factor spaces and suggest the next experiments. The company positions this against conventional Design of Experiments software, which it states can fail on high-dimensional, non-linear or non-convex problems, and states that existing customer experimental data is integrated into the optimization model.
Go-to-market
Self-service acquisition through a free trial and published pricing on the website, combined with a book-a-demo form requiring a work email; content marketing via a blog with product tutorials and comparison articles (for example Bayesian optimization versus DoE); and a newsletter signup.
R&D formulators and product developers in inks, paints and coatings; pharmaceuticals; and specialty chemicals, ranging from individual enthusiasts on the entry-level plan to enterprise organizations. The demo form asks which experimental design software prospects currently use, listing JMP, Design Expert, Minitab and MODDE.
Geography
The website lists a UK contact address at 86-90 Paul Street, London EC2A 4NE and a UK telephone number (+44 20 8434 1066). The Entrepreneurs First portfolio listing places the company within that program's company set.
Risks & controversies
No controversies are reported in the available sources. Notable information gaps include no disclosed funding amounts, customers, headcount or revenue; the performance claim of 5x faster formulation is unverified company marketing; and the sources show an apparent discrepancy between the London contact address on the website and other recorded headquarters information. Sources about Quantum Computing Inc. and general quantum-computing M&A are unrelated to this company and were excluded.
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 1
launches, deals, and filingsA blog post dated 21 September 2023 describes the Quantum Boost platform's project setup (goals, factors, sum and group constraints), import of past experiments, and use of Bayesian Optimization instead of conventional DoE software.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
▸Research sources · 8
primary sources listed
- Quantum Boostquantumboost.com · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Quantum Boost do?
- AI formulation assistant using Bayesian optimization to help chemicals and materials R&D teams design experiments faster.
- Who founded Quantum Boost?
- Quantum Boost was founded by Filip Auksztol, Kacper Kielak in 2021.
- Who are Quantum Boost's investors?
- Quantum Boost's investors include Entrepreneur First, Inovo VC.
- Where is Quantum Boost headquartered?
- Quantum Boost is headquartered in Singapore, SG.