Frequently Asked Questions
These FAQs cover how our specialized agentic collections integrate with your stack, how they evolve, and where they deliver measurable value across manufacturing, cloud, research, healthcare, and organizational change.
Getting Started
It’s a small ecosystem of software agents (“hungers”) tuned to sense imbalance, act, learn, and improve in a specific domain
(e.g., MES/PLC control, quality, scheduling, research workflows). Each collection is bespoke to your environment and evolves
through feedback rather than constant reprogramming.
It’s a framework and methodology we implement as tailored collections. We don’t replace your systems—we augment them and continue
to cultivate the collections over time (think: “evolution as a service”).
Architecture & Integration
We connect via standard interfaces—OPC-UA, PLC tags, REST/GraphQL APIs, SQL, MQTT, files, or streaming buses.
Collections can run at the edge, in your data center, or in the cloud. The design goal: minimal disruption, maximum leverage of what you already own.
Yes. Sensitive, low-latency actions live at the edge (gateways, plant servers); higher-order reflection, orchestration,
and cross-site learning can run in the cloud. Collections coordinate through secure, scoped channels.
Manufacturing, PLCs & Operations
Agents monitor process variables (e.g., temperature, speed, vibration) and learn equilibrium behaviors. With guardrails and approvals,
they suggest or apply micro-adjustments to hold throughput, quality, and energy in balance—escalating to humans when confidence is low.
Yes. Collections “feel” early strain—overtime, micro-stoppages, changeover friction—then rebalance schedules and flows.
The point is sustainable equilibrium: lower cost with steadier human workload and fewer surprises.
Cloud, SaaS & “Architect” Agents
They’re agents that learn from how your teams design workflows and integrations, then propose cleaner API patterns,
data mappings, and orchestration. Over time, your cloud “learns” to compose itself more efficiently.
No. We use open protocols and keep collections modular. Your data stays in your systems; cognition layers can move with you.
Research & LIMS
Agents act like hypothesis partners: ranking experiments, tracking uncertainty, spotting anomalies, and summarizing
“what mattered” in human-readable narratives. They augment scientists, not replace them.
Healthcare & Empathetic Systems
We optimize with empathy. Collections balance patient flow, staffing fatigue, and safety signals, and escalate
with context and humility. The design center: dignity, safety, and trust before speed.
Security, Privacy & Compliance
Principle of least privilege, environment isolation, encrypted transit/storage, and auditable actions.
Collections can run entirely within your network; PHI/PII is scoped to need. We align to your policies and governance.
Economics, ROI & Engagement
Phase 1: Discovery + pilot (1–3 use cases).
Phase 2: Production hardening (guardrails, SLOs, security).
Phase 3: Evolution as a Service—ongoing tuning, new “hungers,” and cross-domain learning.
Phase 2: Production hardening (guardrails, SLOs, security).
Phase 3: Evolution as a Service—ongoing tuning, new “hungers,” and cross-domain learning.
Jointly defined KPIs: reduced downtime/defects, energy/material savings, labor stability, schedule adherence,
decision velocity, and alert precision (fewer false positives). We baseline first, then track deltas over time.
Ethics, Empathy & ALife
No. They’re built to amplify human judgment, surface context early, and stabilize workloads.
We design explicitly for human oversight and guardrails.
We research empathetic, life-like cognition, but production systems are purpose-bound with strict scope,
auditability, and opt-out mechanisms. Empathy is a design principle, not a license for autonomy without consent.
Practicalities
A narrow slice is enough for a pilot: a few streams or tables (e.g., process variables, event logs, quality outcomes, schedules).
We prefer iterative expansion over big-bang ingestion.
Most pilots surface useful insights in weeks, with measurable impact within a quarter as agents learn local rhythms
and guardrails are tuned.
You own your data and business-specific artifacts. We retain core framework IP and generalized patterns.
We’re happy to structure custom agreements for co-development.