Powerhouse deploys specialized agents that plan, execute, and self-tune behind your firewall—combining swarm intelligence, live policy enforcement, and continual retraining with a full audit trail.
The platform orchestrates task routing, experiments, and safety policies while continuously benchmarking itself against ground truth outcomes.
Distributed agent swarm collaborates, debates, and converges with weighted consensus.
Runbooks self-repair through retraining, agent mutation, and replayed simulations.
Signed actions, RBAC, and immutable message logs for every decision and tool call.
Toggle scenarios, swap agent personas, and see how governance changes the plan—right from the page.
Directors, specialists, and auditors collaborate with live RBAC checks. Every tool call is signed, logged, and replayable.
Drag in your APIs, pick a runbook template, and watch agents auto-generate dependency graphs and tests before shipping.
Step through decisions with a message-level audit trail, compare policy diffs, and export evidence for compliance.
Swarm will auto-generate tasks, run sandbox simulations, and pause for approvals.
Powerhouse agents combine orchestrated reasoning, live experimentation, and governance so you can deploy automation that improves itself—without ever phoning home.
Parallel agent viewpoints with structured debate and consensus scoring to reduce hallucinations.
Temporal planners with dependency graphs, milestone tracking, and role-based delegation.
Secure adapters for internal APIs, ticketing, CI/CD, observability, and custom hardware.
Detectors watch for drift, trigger agent mutations, and retrain on fresh logs automatically.
Vector, graph, and relational memory stores tuned for long-horizon workflows.
Directors, specialists, and auditors with distinct personas, policies, and escalation paths.
Agents spawn collaborators, assign experiments, and synthesize findings in real time.
Continuous fine-tuning on approved data with human-in-the-loop gates when required.
Policy-driven skill loading, environment replication, and rollout safety checks.
Define objectives once; the platform decomposes, schedules, and executes against SLAs.
Signature validation, data residency locks, and audit-grade logging for every message.
Experimental meta-learners and quantum-inspired solvers for high-stakes optimization.
Each layer is modular and deployed locally. Powerhouse never requires an outbound call.
RBAC, data residency controls, and signed actions enforced at the message layer with tamper-proof logging.
Director, specialist, and auditor agents collaborate with weighted voting and counterfactual checks.
Tool adapters call internal APIs, CI/CD, and observability systems with guardrails, replay, and back-pressure.
Successful trajectories seed retraining data; under-performers trigger self-healing mutations and offline evaluation.
Progressive releases, human review gates, and automated rollback keep every improvement auditable.
Powerhouse is built for regulated, mission-critical environments—defense, healthcare, finance, energy, and advanced manufacturing.
Per-agent pricing with a minimum of 5 agents. Typical pilot completes in 4–6 weeks and starts at $50,000/year.
Per agent, per year. Great for workflows, research, and automation assistants.
Coordination, debate, long-horizon planning, and multi-agent execution with built-in governance.
Experimental quantum-inspired optimizers and self-mutating agents for hard research problems.
Purpose-built agents, adapters, and domain datasets with dedicated engineering support.
Estimates exclude deployment and custom adapters. Book a call to lock in pricing.
Use cases span regulated operations, real-time decisioning, and research environments.
Autonomous monitoring, incident response, and digital twins for resilient operations.
Quality review, protocol automation, and privacy-preserving research companions.
Surveillance, risk analysis, and compliant automation with full traceability.
Process optimization, maintenance runbooks, and AI copilots for industrial teams.