Platform
One platform. The full technical loop.
Agentriq unifies multi-agent orchestration, simulation, optimization, retrieval and memory into a single autonomous system that runs the entire research-and-engineering cycle, from first principles to a validated result.
02The Team
Specialized agents, working like a real technical team.
Each agent owns a role and collaborates under an orchestrator, the way a research or engineering group actually divides work.
Orchestration agents
Assign work, track progress and decide when to continue, repeat or stop the loop.
ExploreResearch agents
Mine technical knowledge, papers, prior simulations and internal data.
ExploreCoding agents
Write, run and fix code, tests and analysis workflows across your stack.
ExploreSimulation agents
Set up and run solvers.
ExploreOptimization agents
Choose the next parameters to test.
ExploreVerification agents
Check consistency, numerical convergence and physical constraints.
ExploreJudge agents
Score proposals and reject weakly-justified or unreliable results.
Explore03The Loop
A closed loop of automated research and optimization.
Give the platform a technical problem and it runs every step, repeating until the objective is met, with minimal human steering or no human in the loop.
- 01
Understand the problem
Parse the technical goal and its constraints, requirements and success criteria.
- 02
Search & reuse knowledge
Retrieve prior results, papers, simulations and internal data before starting.
- 03
Generate candidate designs
Propose new geometries, parameters, materials and configurations.
- 04
Run simulations & experiments
Execute the compute workflows across local, cloud and HPC resources.
- 05
Extract & evaluate results
Pull metrics automatically and score each candidate against the target.
- 06
Detect errors & constraints
Catch failures, unphysical results and inefficient designs.
- 07
Optimize the next round
Choose the next parameters to try with proven optimization methods.
- 08
Repeat until targets met
Iterate the loop, converging on the objective with minimal human steering.
- 09
Deliver the outcome
Produce the final report, validated design or proposed solution.
↺ The loop repeats autonomously until targets are met.
04Scale
Months of manual work, done in days or hours.
Agentriq spreads thousands of simulations across every compute resource you have and keeps them healthy with minimal human steering or no human in the loop, so campaigns that once took months converge in days, sometimes hours.
- →Manage parallel simulation jobs
- →Detect and re-run failed simulations
- →Auto-correct parameters and configuration
- →Check numerical convergence
- →Reject unphysical or unreliable results
- →Find promising regions of the design space
- →Build surrogate models for faster evaluation
Five simulations a day by hand. Or five million in seconds.
We train a surrogate, let about twenty five algorithms sweep millions of candidate designs in seconds, and validate only the best in the full solver, turning one search into a whole portfolio of devices.See how it works
06Knowledge
Grounded in your knowledge. It never starts from scratch.
Agentic RAG decomposes a question, searches many sources, runs SQL and traverses knowledge graphs before it decides. Multi-level memory means every run makes the next one smarter.
Agentic RAG, multi-hop retrieval
Six levels of memory
- Working memoryThe data, results and decisions needed during a single task.
- Episodic memoryWhat happened in prior simulations, experiments and optimization loops.
- Semantic memoryTechnical and scientific knowledge, facts, relations and prior results.
- Procedural memoryHow specific processes are run, meshing, convergence, evaluation, deployment.
- Structured memorySQL databases and metadata stores for exact parameters and measurements.
- Knowledge-graph memoryRelations between designs, materials, components, defects and root causes.
07Integration
Drops into your stack. Acts inside it.
Agents connect to your tools and don't just observe, they write code, run tests, open tickets, watch pipelines, fix failures and generate reports.
Applications
- →Autonomous engineering
- →Automated scientific research
- →Product-design optimization
- →Simulation orchestration
- →Industrial-process optimization
- →Digital-twin automation
- →Manufacturing quality control
- →Predictive maintenance
- →Root-cause analysis
- →Automated troubleshooting
- →Failure prediction
- →Research-knowledge management
- →Automated technical reporting
- →Software-engineering automation
- →DevOps / MLOps orchestration
- →Supply-chain optimization
- →Risk analysis
- →Compliance monitoring
- →Decision support
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