The scientific method is disciplined. The surrounding work often is not. Evidence sits across publications, experimental systems, reports, patents, datasets and expert memory, forcing researchers to repeatedly reconstruct context before they can advance the question.
Bring literature, internal reports, experimental results and technical records into one research context.
Reduce repeated searching and synthesis when teams investigate adjacent questions or revisit prior work.
Preserve assumptions, methods, observations, failed paths and expert interpretation around experiments.
Expose competing explanations and the evidence required to discriminate between them.
Keep investigations coherent across scientists, engineers, laboratories, functions and long project timelines.
Facthory supports the full investigation around a research question, combining external knowledge, enterprise evidence, experimental reasoning and durable collaboration without reducing research to a generic chat interface.
Find relevant literature, internal evidence, standards and prior work around a defined research question.
Generate competing explanations, expose assumptions and identify evidence that can distinguish between them.
Structure experimental objectives, variables, constraints, expected observations and decision criteria for expert review.
Use data analysis, calculations and specialist tools when the research question cannot be resolved from text alone.
Compare conflicting findings, distinguish evidence from inference and make unresolved uncertainty explicit.
Preserve validated findings, failed paths, experimental context and expert decisions for future investigations.
Facthory keeps research grounded in evidence and makes the structure behind a conclusion visible, so experts can inspect what is known, what is inferred and what still needs to be tested.
Keep claims connected to the literature, records, datasets and observations from which they were derived.
Distinguish direct evidence, supporting evidence, assumptions, inference and unresolved uncertainty.
Preserve methods, conditions, variables, observations and expert interpretation around experimental outcomes.
Keep consequential scientific conclusions under the authority of qualified researchers and domain experts.
Test the two leading hypotheses against the unresolved variable, reproduce the most informative experiment and have the updated conclusion reviewed by the responsible domain expert.
Facthory turns research into a persistent investigation that can span literature, internal evidence, quantitative analysis, experiments and expert decisions without losing context between sessions.
Define the research objective, assumptions, constraints, unknowns and evidence required for a useful conclusion.
Combine internal experiments and technical context with relevant literature, patents, standards and external research.
Challenge competing hypotheses using calculations, data analysis, specialist tools and additional experimental evidence.
Deliver findings with provenance, uncertainty, unresolved questions and the evidence required for expert validation.
Facthory connects investigation and experimentation as one loop, so new evidence changes the hypothesis, the next test and the shared research record.
Turn a broad research problem into explicit unknowns, constraints and decision criteria.
Research objective
Unknowns
Constraints
Decision criteria
Specialist agents handle parallel research and analysis while scientists remain inside the same persistent project to challenge assumptions, add evidence and make consequential decisions.
Parallelize literature, patent, standards, internal evidence and quantitative investigation across specialized agents.
Researchers enter the same investigation to challenge assumptions, provide domain knowledge and validate findings.
Preserve evidence, decisions, experiments and conclusions so future work does not restart from zero.
The same durable investigation model supports scientific quality, research productivity, portfolio decisions and organizational learning without replacing expert judgment.
• Reduce repeated research • Parallelize evidence gathering • Preserve investigation context
• Challenge competing hypotheses • Preserve source provenance • Expose unresolved uncertainty
• Prioritize useful experiments • Connect results to hypotheses • Reuse failed-path learning
• Retain expert decisions • Reuse validated findings • Accelerate future investigations
Scientific and industrial R&D teams operate in a rapidly expanding evidence environment while AI adoption increases expectations for faster, more rigorous research workflows.
The business sector accounted for nearly three quarters of total OECD research and development expenditure in 2024.
Global patent applications reached a record 3.7 million in 2024, expanding the prior-art landscape research teams must navigate.
A global Wiley survey reported by Nature found strong researcher interest in AI alongside demand for clearer guidance and support.
Facthory separates evidence gathering and analysis from scientific accountability. Researchers remain responsible for experimental choices, interpretation and consequential conclusions.
Define the scientific question, accessible evidence, permitted tools and boundaries of the investigation.
Research scope
Approved sources
Tool boundaries
Data access
Begin with one high-value investigation where evidence is fragmented, the answer matters and researchers already spend significant time collecting, reconciling or reproducing context.
Scientific work becomes more valuable when research agents can reason over operational context, multimodal evidence, quantitative data and persistent project memory while experts retain authority.
Structure difficult scientific questions, reconcile evidence and test competing technical explanations.
Ground research in the people, systems, assets, experiments and decisions of the enterprise.
Run persistent multi-agent investigations that can continue across long-running research work.
Explore and analyze datasets when experiments require quantitative evidence or reproducible analysis.
Bring documents, images, video, audio and experimental observations into one evidence base.
Keep consequential scientific conclusions under explicit expert decision rights and approval controls.
Bring one difficult scientific or R&D question. Facthory connects the relevant evidence, experimental context and specialist agents into a durable investigation your experts can inspect, challenge and continue.
