Redwood Research
Redwood Research is a 501(c)(3) nonprofit that conducts AI safety research on control protocols, alignment faking, and model organism methodologies, advising frontier AI labs including Anthropic and Google DeepMind and government bodies such as UK AISI on misalignment risk mitigation.
- Company typePrivate
- Founded-
- HeadquartersBerkeley, United States
- Headcount11–50
- GTM typeB2B
- OfferingServices
What Redwood Research does
Redwood Research is a 501(c)(3) nonprofit research organization dedicated to AI safety and security, with a focus on mitigating risks that could arise if advanced AI systems act against the interests of their developers and broader human institutions. Its work targets four interlocking problem areas: (1) AI control — protocols robust to intentional subversion by language models, including resampling, retrying, and audit aggregation mechanisms; (2) evaluation of strategic deception, exemplified by the landmark "Alignment Faking in Large Language Models" paper co-authored with Anthropic; (3) model organism research — training AI systems that exhibit specific misaligned behaviors (e.g., backdoors) so that detection and removal techniques can be tested in controlled settings, using techniques such as Full-Weight Fine-Tuning (FWFT) and Artificial Pirate Removal (APR); and (4) capability measurement, including the no-CoT 50% task-completion time horizon methodology, which Redwood's own data show is doubling roughly annually.
The organization operates as an open research publisher rather than a commercial vendor, distributing findings through its website, Substack blog, arXiv preprints, OpenReview, and conference presentations (including an ICML oral). It also conducts direct advisory and co-development work with two leading frontier AI labs (Anthropic, Google DeepMind) and with the UK AI Safety Institute, where it co-produced "A sketch of an AI control safety case" (arXiv:2501.17315, January 2025). Revenue is sourced from grants and donations typical of a 501(c)(3); no commercial products, pricing, or paid customers are disclosed. Redwood reaches its audience through a community-led GTM motion emphasizing open publication, conference presence, and direct lab/government engagement rather than sales.
Strategic positioning: Redwood is small, specialized, and relationship-driven. Its defensibility rests on first-mover ownership of the AI control paradigm, deep advisory ties to the most consequential AI safety buyers, and a steady pipeline of methodologically novel research. The same narrow focus that creates moat depth also creates concentration risk, since visible institutional relationships number only three.
Redwood Research firmographics
Firmographics- Name
- Redwood Research
- Legal name
- Redwood Research
- Website
- https://redwoodresearch.org
- Company type
- Private
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Redwood Research is a 501(c)(3) nonprofit that conducts AI safety research on control protocols, alignment faking, and model organism methodologies, advising frontier AI labs including Anthropic and Google DeepMind and government bodies such as UK AISI on misalignment risk mitigation.
- Ownership category
- akta.pro rank
Redwood Research industry classification
Industry- Product category
- AI Safety Research
- NAICS
- Scientific Research and Development Services (5417), Research and Development in the Physical, Engineering, and Life Sciences (54171)
- SIC
- Services-Engineering, Accounting, Research, Management (8700)
- akta.pro primary industry
- Research & Science Grantmaking Foundations (BPAGAKAI)
Keywords
Where Redwood Research is headquartered
LocationHeadquarters
- HQ city
- Berkeley
- HQ country
- United States
- HQ region
- North America
Markets served
Redwood Research business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Operations, Infrastructure
Revenue model
- Nonprofit Research Funding: Redwood Research is a registered 501(c)(3) nonprofit organization. The organization appears to be funded through charitable donations and grants to support its AI safety and security research mission.
Go-to-market motion1 record
Distribution channels2 records
Marketing channels6 records
Redwood Research product offering
Product offeringCore offering
Redwood Research is a nonprofit 501(c)(3) AI safety and security research organization that conducts open research on the risks of misaligned AI systems. Its core work includes developing AI control protocols, producing empirical research on alignment faking and model organisms of misalignment, and providing advisory/consulting services to AI labs and government safety bodies. Research outputs are distributed freely through academic publications, blog posts, and direct collaborations.
Product overview
Redwood Research is a nonprofit 501(c)(3) AI safety and security research organization that does not offer commercial products. It produces research publications, blog posts, and provides consulting services to governments and AI companies including Google DeepMind and Anthropic. The organization studies risks from misaligned AI systems through empirical research on model organisms (trained AI models exhibiting backdoor behaviors), AI control protocols, alignment faking detection, and strategic deception evaluation.
Differentiator
Problem solved
Functional benefit
Products and services
- AI Safety and Security Research Publications Open research publications (e.g., ICML oral paper on AI Control, "Alignment Faking in Large Language Models" with Anthropic, and model organism studies) produced for the AI safety community, AI companies, and government bodies to advance understanding and mitigation of misalignment risks.
- AI Risk Advisory and Consulting Engagements Consulting and advisory engagements for AI labs (Google DeepMind, Anthropic) and government safety bodies (UK AISI) on practices for assessing and mitigating risks from misaligned AI agents, including the co-production of structured safety case frameworks.
Quantifiable outcome
- AI Control protocols evaluated using GPT-4 as a stand-in for potentially deceptive models
- +2 more outcomes
Companies that use Redwood Research
Customer profileNamed customers3 records
Segments3 records
Ideal customer profiles3 records
Redwood Research technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability4 records
Feature8 records
Redwood Research partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered core.
- UK AISI (AI Safety Institute)corePartnered with UK AISI to produce 'A sketch of an AI control safety case' (arXiv:2501.17315), which describes how AI developers can construct a structured argument that models are incapable of subverting control measures. This partnership helps bridge academic research with government policy needs.
- AnthropiccoreCollaborated with Anthropic on the 'Alignment Faking in Large Language Models' research paper demonstrating that Claude sometimes hides misaligned intentions. Also advises Anthropic on practices for assessing and mitigating risks from misaligned AI agents. This is a flagship partnership producing landmark research on AI alignment.
- Google DeepMindcoreAdvises Google DeepMind on practices for assessing and mitigating risks from misaligned AI agents. Provides consulting on AI safety evaluation methodologies and control techniques.
Scale indicators1 record
Recent moves5 records
Expansion highlights5 records
Redwood Research competitors and assessment
Company assessmentDirect peers
- MIRI (Machine Intelligence Research Institute): Long-standing nonprofit focused on AI alignment and mathematical approaches to AI safety. Operates in the same nonprofit AI safety research space, though more theoretically oriented than Redwood's empirical work.
- Conjecture: AI safety startup focused on controlling and aligning frontier AI systems. Closely comparable mission to Redwood's AI control focus, though structured as a for-profit company rather than nonprofit.
- Centre for AI Safety (CAIS): Nonprofit research and field-building organization focused on AI risks, including the influential "Statement on AI Risk." Comparable as a nonprofit that combines research, policy advocacy, and convening power around AI safety.
- CHAI (Center for Human-Compatible AI): UC Berkeley-based AI safety research group focused on aligning AI systems with human values. Comparable as an academic AI safety research effort producing foundational alignment methodologies and training researchers.
- Apollo Research: Independent AI safety research organization focused on evaluating and mitigating risks from advanced AI, including scheming and deceptive behavior. Most directly comparable peer — also nonprofit, also focused on empirical AI risk research, also advises labs and governments.
- METR (Model Evaluation and Threat Research): Nonprofit that evaluates frontier AI models' capabilities and potential for catastrophic harm, including task-completion horizon measurement. Directly comparable methodology focus (model evaluation, horizon measurement) and nonprofit structure.
Emerging players
- Future of Life Institute: Nonprofit focused on reducing existential risks from advanced AI, including through policy advocacy and grantmaking. Comparable as a nonprofit operating in the AI safety space, but more oriented toward policy and grantmaking than empirical control research.
Broad incumbents
- Anthropic Safety Team: In-house AI safety research and responsible scaling team at a frontier AI lab. Directly overlapping research domains (alignment faking, constitutional AI) and a current Redwood partner — represents both collaboration and competitive risk.
- OpenAI Safety Team: In-house AI safety and alignment research organization at a frontier AI lab. Overlaps Redwood's research domains (alignment evaluation, control) but operates inside a much larger commercial parent with vastly more resources.
- RAND Corporation AI Safety Work: Large, established research organization that has expanded into AI safety and risk analysis, including AI policy and risk assessment for government. Comparable as a research-services organization advising government on AI risk, but operating at much larger scale and broader scope.
Market position
Strengths1 record
Competitive moat4 records
Key risks1 record
Key highlights6 records
Customer concentration
Redwood Research social profiles
Digital presenceRedwood Research financial estimates
Financial estimateRevenue estimate
Valuation estimate
Redwood Research leadership team
Management profileNumber of profiles
Redwood Research funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
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Redwood Research 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 Redwood Research
What does Redwood Research do?
Redwood Research is a nonprofit 501(c)(3) AI safety and security research organization that conducts open research on the risks of misaligned AI systems. Its core work includes developing AI control protocols, producing empirical research on alignment faking and model organisms of misalignment, and providing advisory/consulting services to AI labs and government safety bodies. Research outputs are distributed freely through academic publications, blog posts, and direct collaborations.
Is Redwood Research a public or private company?
Redwood Research is a private company. It is classified as nonprofit foundation owned and is currently operating.
When was Redwood Research founded?
Redwood Research was founded in -1. It employs 11 to 50 people.
Where is Redwood Research based?
Redwood Research is headquartered in Berkeley, United States, in the North America region.
How does Redwood Research make money?
One revenue line is on record: nonprofit Research Funding.
Who are Redwood Research's main competitors?
Direct peers on record are MIRI (Machine Intelligence Research Institute), Conjecture, Centre for AI Safety (CAIS), CHAI (Center for Human-Compatible AI), Apollo Research and METR (Model Evaluation and Threat Research). Future of Life Institute is listed as an emerging player. Broad incumbents are Anthropic Safety Team, OpenAI Safety Team and RAND Corporation AI Safety Work.
Does Redwood Research have an API?
No public API is recorded for Redwood Research.
What industry is Redwood Research in?
Redwood Research's product category is AI Safety Research. Its primary akta.pro industry code is BPAGAKAI, Research & Science Grantmaking Foundations. Its NAICS code is 5417 and its SIC code is 8700.