Findola Platform · Agent fleet
The agent fleet that does not just find the answer. It does the work.
Agentiq is Findola's agentic action layer: a fleet of planner, executor, verifier, and writer agents that take real, permissioned actions across 200+ apps. Update the CRM, file the ticket, draft the renewal, with human review and an immutable audit of every step. It turns Findola from a system of record into a system of action.
Why Agentiq exists.
Generic agents demo well and break on messy real data. They lack workflow depth, permissions, verification, and audit, so enterprises will not let them act. The value, replacing labor, is locked behind reliability and governance that off-the-shelf agents do not have.
What it does
Agentiq orchestrates bounded, verifiable workflows over Cortexa's graph and Retrova's evidence. A planner decomposes the goal, executors call tools from an MCP-compatible registry with per-tool authorization and sandboxing, an independent verifier model checks each consequential step, and a writer produces auditable artifacts. Reasoning runs on NeMo-tuned models served as NIM microservices, and NeMo Guardrails enforce injection defense and policy.
What ships in Agentiq.
Every capability below maps to a real workload that needs accelerated compute.
Multi-agent orchestration
Planner, executor, verifier, and writer working as one flow.
Permissioned tool use
An MCP-compatible registry with per-action authorization and sandboxing.
Human in the loop
Approvals, budget caps, and two-person rules for sensitive actions.
Independent verifier
A separate model checks each step, with confidence and abstention.
Immutable audit
Every tool call and decision is logged, with eval and golden-dataset CI.
Architecture.
A goal goes to the planner (NeMo model), executors call tools over Cortexa, Retrova, and external APIs, an independent verifier (a separate NeMo model) checks the work, a writer produces the artifact, an approval UI gates it, and everything lands in the audit log. Workflows are durable (Temporal). Every agent role is a NIM service on Triton, and Lumind harvests traces and overrides to retrain.
NVIDIA hardware
- H100 / H200. Agent reasoning and verifier fine-tuning.
- L40S / A100. Production multi-agent inference, many model calls per workflow.
- Jetson / IGX. On-prem agent execution through Vaulta for regulated networks.
NVIDIA SDKs & libraries
- NeMo + NeMo Guardrails. Tuned reasoning plus safety for trustworthy autonomous action.
- TensorRT-LLM. Fast inference to hold latency and cost across many agents.
NVIDIA software
- NIM. Each agent role as a microservice, scalable from cloud to on-prem.
- Triton. Concurrent serving of planner, executor, and verifier together.
Agentiq is GPU-essential.
A single workflow fans out to many model calls to plan, act, verify, and write. Meeting latency and cost at that fan-out needs batched GPU inference (TensorRT-LLM and Triton) and GPU-trained task models. CPU inference makes multi-agent reliability uneconomical.
The moat.
Per-customer encoded workflows, golden datasets, and outcome-tuned models compound. Ripping out Agentiq means rebuilding the workflow, and its trace data feeds the flywheel.
Agentiq hits NVIDIA's top pull area, agentic AI, with real autonomous agents that take action, owned NeMo models, and NIM serving. Strong AI depth and strategic alignment.
Ecosystem link: Agentiq is the action layer. It reasons over Cortexa and Retrova, deploys through Vaulta, and is improved by Lumind.
See Agentiq on your own data.
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