Pauling
Pauling.AI is a Boston-based company offering Autochem, an autonomous AI drug discovery platform that orchestrates molecular docking, dynamics, and ADMET prediction through a conversational interface for biopharma, academic, and longevity biotech customers lacking computational chemistry expertise.
- Company typePrivate
- Founded2024
- HeadquartersBoston, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Pauling does
Pauling.AI is a Boston-based, venture-backed company founded in 2024 that has developed Autochem, a conversational AI-driven autonomous drug discovery platform. The platform orchestrates 15+ computational chemistry pipelines including GPU-accelerated molecular docking (Uni-Dock, derived from AutoDock Vina), all-atom molecular dynamics simulations (GROMACS with AMBER99SB-ILDN force field), MM-PBSA binding free energy analysis, P2Rank binding pocket prediction, MolProbity and PoseBusters quality control, and ADMET property prediction across 80+ endpoints. The system integrates state-of-the-art third-party AI models (Boltz, DiffDock, AlphaFold 2/3) with physics-based methods via multi-LLM AI agents, running on Google Cloud Dataflow with auto-scaling infrastructure. Target users are medicinal chemists and research scientists who can describe a protein target in plain language and receive validated drug candidates without computational chemistry expertise.
The company serves biopharmaceutical companies, academic research labs, longevity-focused biotechs, and medicinal chemistry personnel, with pain points centered on 10–15 year drug discovery timelines, $2.6B per-approval costs, and 90% industry failure rates. Revenue is generated primarily through a $10,000 standard hit screening package covering 10 million compound docking plus MD validation for the top 100 candidates with approximately one-week turnaround, supplemented by custom enterprise pricing for pharmaceutical leaders and tailored multi-year contracts for academic and ongoing research collaborations. The go-to-market combines enterprise field sales (demo requests via [email protected]) with a product-led growth motion through the self-serve web interface at autochem.pauling.ai, supported by content marketing (Substack blog, The Pauling Principle podcast) and earned media coverage in tech and longevity publications.
Pauling firmographics
Firmographics- Name
- Pauling
- Legal name
- Pauling.AI
- Website
- https://pauling.ai
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Pauling.AI is a Boston-based company offering Autochem, an autonomous AI drug discovery platform that orchestrates molecular docking, dynamics, and ADMET prediction through a conversational interface for biopharma, academic, and longevity biotech customers lacking computational chemistry expertise.
- Ownership category
- akta.pro rank
Pauling industry classification
Industry- Product category
- AI Drug Discovery Platform
- NAICS
- Research and Development in Biotechnology (except Nanobiotechnology) (541714), Scientific Research and Development Services (5417)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- AI/ML Platforms for Drug Discovery & Experiment Optimization (HLAGAJAO)
- akta.pro secondary industry
- AI/ML-Enabled Biologic Discovery Platforms (computational design, in silico screening) (HLAAAIAE)
Keywords
Where Pauling is headquartered
LocationHeadquarters
- HQ city
- Boston
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Pauling business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Operations, Marketing or Sales
Revenue model
- Project-Based Drug Discovery Services: Standard hit screening package priced at $10,000 covering 10M compound docking plus MD validation for top 100 candidates. Turnaround time is approximately 1 week. Custom pricing available for ongoing research collaborations, academic institutions, and multi-target projects.
- Enterprise Platform Access: Enterprise customers can access the platform for autonomous drug discovery. Pricing likely varies based on scope and usage, with tailored solutions for pharmaceutical leaders.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Unit Pricing | Pay-as-you-go | Standard Hit Screening Package |
| Hybrid | Multi-year contract | Academic/Ongoing Collaboration |
Go-to-market motion2 records
Distribution channels2 records
Marketing channels5 records
Pauling product offering
Product offeringCore offering
Pauling.AI operates the Autochem platform, a fully autonomous drug discovery system that lets users describe a protein target (e.g., '6VC8') in plain language and then automatically orchestrates molecular docking, molecular dynamics (GROMACS), ADMET prediction, and quality control to deliver validated drug candidates in days. The platform sells both standardized hit screening services (e.g., 10M-compound docking + MD validation for $10,000) and enterprise-grade platform access tailored to pharmaceutical, biotech, academic, and longevity research customers.
Product overview
Pauling.AI is a fully autonomous computational drug discovery platform that combines AI agents, enterprise-scale cloud infrastructure, and the latest AI models (Boltz, DiffDock) with physics-based computational chemistry methods. The core product is Autochem, which enables researchers to describe their target in plain language and receive validated drug candidates in days rather than years. Key offerings include: Hit Screening (docking up to 10 million compounds with MD validation); Docking Protocol (GPU-accelerated virtual screening with automated structure preparation and pocket prediction); Counterscreening Protocol (selectivity-focused dual-site docking); and MD/MM-PBSA ΔG Protocol (all-atom molecular dynamics with rigorous binding free energy calculations). The platform integrates with major compound libraries (Enamine, mCule) and protein structure databases (PDB, AlphaFold, UniProt) to deliver end-to-end automation of computational chemistry workflows.
Differentiator
Problem solved
Functional benefit
Brands
- Autochem: The computational drug discovery platform developed by Pauling.AI that automates molecular docking, molecular dynamics, and ADMET property prediction through AI agents.
Products and services
- Autochem The primary fully autonomous computational drug discovery platform that enables researchers to go from protein target to validated drug candidates in days through a conversational AI interface. It orchestrates molecular docking, molecular dynamics, ADMET prediction, and binding affinity analysis without requiring computational chemistry expertise, and is sold to pharmaceutical, biotech, and academic customers.
- Hit Screening Large-scale virtual screening service that docks up to 10 million compounds and applies MD validation for the top candidates. Delivers high-confidence hits with ADMET profiling and MM-PBSA free energy analysis in approximately 1 week for $10,000, targeting pharmaceutical and biotech researchers.
- Docking Protocol Virtual screening by molecular docking protocol using GPU-accelerated Uni-Dock. Includes automated structure acquisition, receptor preparation, P2Rank pocket prediction, two-stage docking, and PoseBusters quality control, designed for medicinal chemists conducting early-stage hit identification.
- Counterscreening Protocol Selectivity-focused virtual screening workflow that docks compounds against two binding sites simultaneously and ranks candidates by a selectivity score to identify selective binders over anti-targets. Used by medicinal chemists who need to profile off-target activity.
- MD / MM-PBSA ΔG Protocol Molecular dynamics hit validation protocol using all-atom MD simulations in explicit solvent followed by MM-PBSA binding free energy analysis. Includes GROMACS-based MD, AMBER99SB-ILDN force field, TIP3P water model, and per-residue energy decomposition for hit confirmation.
- Enterprise Enterprise tier offering for pharmaceutical companies featuring AI-native molecular discovery, physics-grounded explainable predictions, and scalable cloud infrastructure for accelerating R&D pipelines, with custom pricing and tailored solutions.
Quantifiable outcome
- 85% timeline reduction from initial hit identification to validated lead series
- +4 more outcomes
Companies that use Pauling
Customer profileNamed customers1 record
Segments4 records
Ideal customer profiles3 records
Pauling technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration35 records
AI capability8 records
Feature8 records
Pauling partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered core.
- EnaminecoreEnamine is a major supplier of in-stock screening compounds. Pauling.AI's default screening libraries include approximately 10 million in-stock compounds from Enamine, prioritized because in-stock compounds eliminate procurement delays and allow immediate experimental validation.
- mCulecoreCompound supplier providing in-stock screening libraries. Part of Pauling.AI's ~10 million in-stock compound library for virtual screening.
- Google CloudcoreCloud infrastructure provider powering Pauling.AI's platform. Runs on Google Cloud Dataflow with enterprise-grade security and IP protection for processing millions of compounds in parallel.
Scale indicators9 records
Recent moves6 records
Expansion highlights5 records
Pauling competitors and assessment
Company assessmentDirect peers
- XtalPi: AI and quantum physics-based drug discovery platform combining computation with automated robotic wet-lab synthesis. Closely comparable to Pauling.AI's in-silico-to-validation pipeline, with a stronger wet-lab component and broader pharma partnerships.
- Atomwise: AI drug discovery platform using atom-level convolutional neural networks for structure-based small molecule design. Closely comparable technology stack and customer base (pharma/biotech hit discovery), directly serving the same virtual screening use case Pauling.AI targets.
- Iambic Therapeutics: AI-native drug discovery company using physics-informed machine learning for structure-based design and small molecule discovery. Comparable technology approach (combining physics-based and AI methods) and shared customer base in pharma/biotech.
- Exscientia: AI-driven precision medicine and drug discovery company using active learning and patient-derived data for molecule design. Comparable end-to-end AI drug discovery competitor with established pharma partnerships and an existing platform around automated compound design.
- Schrödinger: Public computational chemistry platform offering physics-based molecular simulation and drug design software. Directly comparable as the established 'complex tools' competitor named explicitly on Pauling.AI's comparison page, serving the same pharma/biotech customers with overlapping workflow tooling.
- BenevolentAI: AI drug discovery company applying machine learning to biomedical knowledge graphs and target identification. Comparable as another end-to-end AI pharma company pursuing the same thesis of compressing the early drug discovery funnel through automation.
- Insilico Medicine: AI-driven drug discovery company combining generative chemistry, target discovery, and clinical development. Comparable as one of the most well-funded end-to-end AI drug discovery competitors pursuing the same 'compressed timelines' thesis with much larger capital and longer operating history.
- Recursion Pharmaceuticals: AI-native drug discovery company combining high-throughput biology with machine learning across a broader phenotypic and target-based discovery footprint. Comparable as a competing AI drug discovery platform with significantly more capital and pipeline depth.
Broad incumbents
- Isomorphic Labs: Alphabet/DeepMind-backed drug discovery company leveraging AlphaFold and related foundation models. Comparable as a well-capitalized AI drug discovery competitor that Pauling.AI's stack explicitly integrates (AlphaFold, Boltz/DiffDock are included as workflow components).
Emerging players
- Crēdo Science: Emerging AI-native drug discovery platforms building workflow automation around generative biology and chemistry models — comparable as a similarly-staged early entrant in the same 'AI workflow for scientists' category as Pauling.AI.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat3 records
Key risks6 records
Key highlights6 records
Customer concentration
Pauling social profiles
Digital presencePauling financial estimates
Financial estimateRevenue estimate
Valuation estimate
Pauling leadership team
Management profileNumber of profiles
Pauling funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Pauling M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Pauling
What does Pauling do?
Pauling.AI operates the Autochem platform, a fully autonomous drug discovery system that lets users describe a protein target (e.g., '6VC8') in plain language and then automatically orchestrates molecular docking, molecular dynamics (GROMACS), ADMET prediction, and quality control to deliver validated drug candidates in days. The platform sells both standardized hit screening services (e.g., 10M-compound docking + MD validation for $10,000) and enterprise-grade platform access tailored to pharmaceutical, biotech, academic, and longevity research customers.
Is Pauling a public or private company?
Pauling is a private company. It is classified as venture growth investor backed and is currently operating.
When was Pauling founded?
Pauling was founded in 2024. It employs 1 to 10 people.
Where is Pauling based?
Pauling is headquartered in Boston, United States, in the North America region.
How does Pauling make money?
Two revenue lines are on record. Project-Based Drug Discovery Services are the primary driver. The others are enterprise Platform Access.
Who are Pauling's main competitors?
Direct peers on record are XtalPi, Atomwise, Iambic Therapeutics, Exscientia, Schrödinger, BenevolentAI, Insilico Medicine and Recursion Pharmaceuticals. Isomorphic Labs is listed as a broad incumbent. Crēdo Science is listed as an emerging player.
Does Pauling have an API?
No public API is recorded for Pauling.
What industry is Pauling in?
Pauling's product category is AI Drug Discovery Platform. Its primary akta.pro industry code is HLAGAJAO, AI/ML Platforms for Drug Discovery & Experiment Optimization, with a secondary code of HLAAAIAE, AI/ML-Enabled Biologic Discovery Platforms (computational design, in silico screening). Its NAICS code is 541714 and its SIC code is 7372.