Autonomous Booster Recovery
+82.88%SUCCESS RATE 17.12 › 100
Guidance redesign balancing precision, propellant margin, and attitude stability.
Explore the World Through
PRAXIST
Skyrocket Your
ResearchAnalysisBusiness OutcomesDiscoveryR&D
With World-Class
Autonomous Discovery
Production-ready autoresearch that turns ambitious goals into tested, high-performing solutions.
20K+Evaluated Research Experiments
100+Domains Across Science & Industry
50+Enterprise & Research Programs
20+Nature & NeurIPS Submissions
BUILT and Trusted by TOP Researchers from:
PRAXIST
Enterprise Intent
Autonomous Research Control Plane
Validated Handoff
Production
Compounding Flywheel
results → evidence → better agendas → stronger candidates
Where it fits best
01 / ENGINEERING
CUSTOM
R&D
Develop deployment-ready systems for robotics, autonomy, and edge intelligence under real-world constraints.
02 / BUSINESS
BUSINESS
IMPROVEMENT
Test pricing, forecasting, operating, and market models against measurable business outcomes.
03 / SCIENCE
AI FOR
SCIENCE
Accelerate discovery across proteins, materials, and genomics with autonomous, evidence-driven research.
Use Cases
Eight applied systems—from autonomous control to scientific and enterprise discovery.
SLAM Algorithm
+46.53%RMSE(m) 0.0937 › 0.0501 (lower is better)
A visual-authority mechanism that reduces drift and strengthens trajectory estimation.
Quantitative Trading
+30.2%CAGR 22.8 › 53.0
Walk-forward strategy research across changing regimes and an out-of-period holdout.
Job-Shop Optimization
+2.0%EFFICIENCY 1.4 › 3.4
Optimize machine assignment, sequencing, and timing under real production constraints.
Molecular and materials property prediction
+28.9%MEAN-COLUMN RMSLE 0.06988 › 0.04969 (lower is better)
Screen candidate materials or formulations virtually, reducing the number of simulations and physical experiments needed to find promising designs.
Real-time 3D hazard and asset detection
+261.9%MAP 0.042 › 0.15199
Build a perception layer for vehicles, robots, yards, mines, or warehouses that locates people, equipment, and obstacles in three dimensions so automated systems can act safely.
Multilingual customer and employee question answering
+22.2%WORD JACCARD 0.72756 › 0.88943
Answer questions from policies, help centers, product documentation, or case files in lower-resource languages without forcing users into English-only workflows.
Next-best-product recommendations
+53.6%MAP@12 0.02177 › 0.03344
Recommend the most relevant products, offers, content, or replenishment items from behavioral history and catalog context.
Automated retinal screening and referral prioritization
+4.8%QUADRATIC KAPPA 0.88891 › 0.93198
Triage screening images by disease severity so clinicians can focus first on patients most likely to need urgent follow-up while preserving human review.
Binary visual inspection and routing
+99.2%LOG LOSS 0.12216 › 0.00098 (lower is better)
Classify an image into pass/fail, target/non-target, damaged/undamaged, or eligible/ineligible to automate a high-volume first decision.
Real-time abuse screening for digital channels
+23.2%AUROC 0.77842 › 0.95897
Score comments, chats, reviews, and community posts for likely abuse so platforms can warn users, prioritize moderation, or apply policy controls.
Automatic case, document, and ticket tagging
+31.2%MICRO F1 0.60685 › 0.79589
Assign multiple topics to support tickets, knowledge articles, legal documents, or incident reports for routing, search, analytics, and ownership.
A New Operating Model
for Research
EXECUTION MODEL
Team Without Praxist
Experiments and handoffs coordinated manually
TEAM WITH PRAXIST
Parallel research peers coordinated across generations
SCIENTIFIC CONTRACT
Team Without Praxist
Objectives and checks scattered across prompts and scripts
TEAM WITH PRAXIST
Task-owned objectives, metrics, constraints, and evaluation
EVIDENCE SYSTEM
Team Without Praxist
Results fragmented across logs, files, and summaries
TEAM WITH PRAXIST
Typed findings linked directly to evaluated artifacts
KNOWLEDGE CONTINUITY
Team Without Praxist
Context and lessons fade between cycles
TEAM WITH PRAXIST
Frontier, Incubator, and Gems preserve learning across generations
TRACEABILITY
Team Without Praxist
Decision rationale is difficult to reconstruct
TEAM WITH PRAXIST
Replayable lineage: artifact → finding → decision → next agenda
ENGAGE PRAXIST
From defining the right research problem to deploying a lasting internal capability, we offer three engagement models designed around your objectives, technical environment, and stage of readiness.
01 STRATEGY & VALIDATIONTurn an Ambitious Goal into an Executable Program
We work with your team to translate a high-value technical challenge into a rigorous research program. Together, we define the scope, establish meaningful benchmarks, design the evaluation protocol, and identify the most promising path forward.
You leave with a clear technical roadmap and an evaluation framework your team can trust.
02 APPLIED RESEARCHAchieve a Measurably Better Result
Bring us a defined objective and a way to measure success. Our researchers and engineers use PRAXIST to explore, evaluate, and refine potential solutions, then deliver the strongest validated approach.
Every engagement concludes with a working implementation, reproducible results, and a clear account of what improved and why.
03 ENTERPRISE DEPLOYMENTBuild PRAXIST into Your Organization
Deploy PRAXIST as an enduring research and optimization capability within your organization. We configure the platform for your domain, integrate it with your infrastructure and workflows, and prepare your team to operate it effectively.
Private deployments, tailored integrations, governance support, and team enablement are available.
Ongoing Partnership & Custom Engineering
For recurring or broader needs, we shape the collaboration around the work—from an annual portfolio of research tasks to custom agent and multi-agent systems, integration with existing infrastructure, and onsite or remote engineering support.
Frequently Asked Questions
Praxist is an autonomous research system for measurable research problems that can be executed on a computer. It turns an already runnable project into a continuous, evidence-driven research run.
Across successive generations, parallel research agents develop candidate solutions; evaluators convert results into structured evidence; and a planning panel synthesizes that evidence into the research agenda for the next generation. The cycle continues until the search converges or the budget is exhausted.
You provide a runnable project and a measurable objective. Praxist orchestrates the research process that searches for the best-performing solution.