Use Cases
Explore our reference AI agents to spark new ideas, and use our SDK to build a roadmap tailored to your governance and performance thresholds.
Our SDK is used across labs to prove how ephaptic coupling, verifiable identity, and runtime governance behave in different environments, from browser copilots to robots.
Reference AI Agents
We maintain a collection of concept agents that we share during workshops and consulting engagements. These AI agents are not production offerings, but living engineering blueprints for planning your own vertical-specific deployments.
Each profile highlights a distinct constraint space (compliance, edge networking, hardware, etc.) so you can map the SDK’s trust controls to scenarios that look like your own.
Francisca
Education & Research AI Agent
Francisca is a 3D avatar acting as a conversational tutor and research assistant powered by multimodal perception, integrating speech, vision, and reasoning models through the Ephapsys SDK.
Francisca demonstrates real-time trust verification, and transparent model lineage, ideal for universities, labs, or ed-tech platforms requiring verifiable, bias-controlled agents.
Graham
Telecommunications AI Agent
Graham is a virtual network engineer integrated into an all-in-one access point with both a radio and a 5G core (i.e., the brain of a 5G network).
By analyzing logs from the 5G Core, RAN, and OSS/BSS systems, Graham can predict outages before they occur, reduce manual interventions, extend hardware lifespan, and maintain network uptime in decentralized deployments.
Lakshmi
Healthcare AI Agent
Lakshmi functions as a secure virtual medical assistant capable of triaging patient data, scheduling consultations, and assisting in diagnostics while maintaining cryptographic integrity of patient-model interactions.
Built atop the Ephapsys governance layer, it showcases compliant AI behavior under HIPAA-style privacy rules, dynamic revocation, and audit-ready inference provenance.
Satoshi
Financial AI Agent
Satoshi augments financial advisors and analysts through secure data access, verifiable analytics, and adaptive models that deliver personalized insights. It supports portfolio optimization, anomaly detection, and real-time risk monitoring with full transparency and human-in-the-loop oversight.
Built on the Ephapsys SDK, Satoshi ensures audit trails, regulatory traceability, and model provenance aligned with MiFID II and FINRA. Its modular design integrates with core banking systems and optional DeFi or smart contract execution, enabling trusted automation across traditional and blockchain finance.
Mercury
Shopping AI Agent
Mercury is a personalized shopping companion that understands user preferences, budget, and lifestyle to deliver curated product recommendations in real time. It simplifies decision-making by blending data-driven insights with conversational guidance.
Built on the Ephapsys SDK, Mercury leverages secure ephaptic modulation for adaptive intent recognition and product ranking. It continuously learns from user feedback, market trends, and contextual cues, ensuring a dynamic, privacy-preserving shopping experience.
Asimov
Wheeled-Robot AI Agent
Asimov merges motor control, spatial awareness, and natural interaction within a unified ephaptic control architecture. It integrates speech synthesis, vision perception, and motion planning with cryptographically enforced inference verification, ensuring every action is traceable, authorized, and secure.
Designed for manufacturing, retail, and domestic settings, Asimov includes tamper detection, ownership transfer, and a kill switch for safe, auditable autonomy.
FIDO
Companion & Digital Pet AI Agent
FIDO, which stands for Four-legged Intelligent Digital Organism, is a robotic dog designed as a digital pet and emotional companion. It combines tactile sensing, emotional inference, and expressive motor control to emulate lifelike behavior and personality. Through the Ephapsys SDK, FIDO interactions are continuously modulated for authentic, adaptive companionship.
It can serve as a wellness companion, therapy assistant, or entertainment robot, with customizable personalities and secure owner binding using decentralized identity anchors.
ADAM
Bipedal-Robot AI Agent
ADAM, which stands for Anthropomorphic Device for Advanced Multitasking, is a humanoid robot that demonstrates embodied AI with integrated motor control, language comprehension, and cognitive reasoning. It performs complex tasks that require dexterity, coordination, situational understanding, and adaptive behavior.
ADAM benefits from synchronized interactions between motion, speech, and vision subsystems, which makes it suitable for research and service robotics that require humanlike adaptability.
iSleeve
Neuroprosthetic BCI AI Agent
iSleeve is a brain–computer interface agent designed for integration with prosthetic limbs. It interprets neural signals in real time and modulates movement precision through ephaptic coupling-enhanced models, which enables smoother and more natural motor control for users.
Closed-loop calibration routines fuse EMG, neural, and positional telemetry so each movement stays stable even under drift, while hardware-attested inference keeps prosthetic commands bound to the intended wearer and auditable by clinicians.
Consulting Engagement
Partner with our customer engineering team to scope, design, and operationalize your AI agents, from the first brainstorm to fully governed deployments.
- Strategy & Roadmapping: Translate business objectives into prioritized agentic workflows and measurable milestones.
- Architecture & Design: Co-create secure, compliant reference architectures that blend cloud, edge, and hardware attestors.
- Proof of Concept & Pilots: Rapidly validate high-value use cases with instrumented prototypes and success metrics.
- Integration & Deployment: Connect agents to existing data planes, enforcement services, and operational tooling with zero-trust guardrails.
- Training & Knowledge Transfer: Enable your engineers and operators to extend, audit, and safely govern agents post-engagement.
Assess
Risk workshops, compliance mapping, and readiness scoring to surface deployment blockers early.
Build
Hands-on pairing to implement SDK, CLI, or Ops Center workflows aligned with your stack and existing pipeline.
Scale
Operational runbooks, monitoring hooks, and policy automation to move from pilot to production.
We can deliver actionable insight and expertise so your AI adoption stays strategic, secure, and sustainable.