AI enablement kit
Deploy anywhere
Run on kiosks, robots, counters, displays or apps.
HUMAN INTERFACE PLATFORM
Deploy physical AI staff on any device
Connect devices, apps and business systems for front-of-house service, sales and operations.
Built for complex physical spaces, distributed fleets and measurable goals.
Full-stack AI for real-world execution
Perception, agents, deployment and analytics in one platform.
Edge perception models
Understand real environments
Understand presence, attention, speech and engagement at the edge.
Agent builder
Deploy capable agents
Build agents that answer, guide and take action.
Analytics engine
Measure and improve outcomes
Measure performance and improve agents over time.
Not a kiosk. Physical AI staff.
Biscuit understands people, takes action and improves outcomes across devices and apps.
Sales
Guide shoppers, answer product questions, recommend items, explain promotions, and help customers make confident purchase decisions.
Service
Handle repetitive front-of-house service tasks, support multilingual conversations, and reduce pressure on store teams.
Operations
Connect conversations to real business actions, including product guidance, service routing, lead capture, support workflows, and retail operations.
Outcomes
Optimize for outcomes retailers care about: conversion, attach rate, service completion, customer satisfaction, labor leverage, and revenue.
Multi-modal edge inferencing
Multi-modal edge inference for real environments
The hardest part of physical AI is understanding what is happening in front of it.
Retail environments are noisy, messy, and unpredictable. Biscuit is built to understand shoppers on the edge, where the interaction is happening, so agents can respond naturally without forcing customers to press a button, repeat themselves, or adapt to a fragile interface.
Patent-pending edge perception technology Biscuit's patent-pending edge perception technology reasons about shoppers up to 100 times per second, helping the agent understand presence, attention, engagement, and interaction state in real time.
Continuous shopper understanding
Detects and reasons about shopper presence, attention, and engagement state.
No button-press friction
Lets customers approach and engage naturally without learning a new interface.
Built for noisy environments
Filters messy real-world inputs from speech, motion, lighting, and background activity.
Cleaner context for better agents
Sends stronger signals into the AI agent so conversations are faster, more relevant, and less brittle.
Agent builder
Create and deploy physical AI workflows in minutes
Biscuit gives teams a fast way to build, update, and launch AI sales and service agents across a deployed fleet.
Retail changes constantly: promotions, inventory, campaigns, store policies, service flows, and customer needs. Biscuit lets teams update agent behavior, product knowledge, and workflows without rebuilding the entire experience.
Text-based AI builder
Create and adjust physical AI experiences using plain-language instructions, business rules, product context, and workflow goals.
Workflow execution
Support product guidance, recommendations, service routing, lead capture, support flows, and location-specific instructions.
Real-time fleet updates
Push changes into deployed nodes across locations, events or regions as the business changes.
Brand and policy control
Keep agent behavior aligned with the operator's voice, escalation rules, compliance requirements, and operational constraints.
Analytics and continuous learning
Measure performance. Improve forever.
Biscuit does not stop at deployment. It measures how AI staff perform and improves them over time.
Every interaction creates signals about what shoppers need, where they get stuck, which recommendations work, and which workflows create value. Biscuit turns those signals into analytics, optimization, and improvement loops across the fleet.
Sales and service analytics
Track conversations, engagement, conversion paths, support outcomes, and missed opportunities.
Outcome optimization
Improve agent behavior based on goals like conversion, attach rate, service completion, satisfaction, and revenue.
Continuous learning loops
Use real interaction data to refine knowledge, recommendations, scripts, and workflows over time.
Fleet-level insight
Compare performance across locations, endpoints, campaigns, and workflows to identify what is working.
See the systems behind the agent
It is easy to say AI staff. It is much harder to make AI staff work in real stores. Biscuit proves it through edge perception, agent-building infrastructure, fleet deployment, and analytics that improve over time.
Multi-modal edge inferencing
Show the agent what is happening in front of it: shopper presence, attention, engagement, speech, and interaction state.
- Runs at the edge
- Built for noisy stores
- No button press required
- Real-time shopper context
Agent builder
Create sales and service agents with business goals, brand rules, product knowledge, and workflow logic.
- Text-based configuration
- Workflow control
- Fleet deployment
- Live updates
Analytics and continuous learning
Measure how agents perform, identify missed opportunities, and improve deployed experiences over time.
- Conversation analytics
- Attention-to-conversion
- Outcome optimization
- Improvement loops
Others solve pieces. Biscuit solves the full stack.
Operators should not have to stitch together hardware, AI, analytics and integrations to deploy physical AI staff.
| Capability | Biscuit | AI chatbots | Kiosk vendors | ERP / POS / CRM software | In-house builds |
|---|---|---|---|---|---|
| Deploys on physical endpoints | Yes | No | Yes | Limited | Limited |
| Understands real-world context | Yes | No | No | No | Custom |
| Executes business workflows | Yes | Limited | No | Limited | Custom |
| Launches fast | Yes | Yes | No | No | No |
| Measures and improves outcomes | Yes | No | No | Limited | Custom |
| Built for distributed fleets | Yes | No | Limited | No | Custom |
| Connects hardware, AI, analytics, and optimization | Yes | No | No | No | Custom |
Biscuit deploys, operates, measures and improves physical AI staff across locations.
Backed by Google Cloud & NVIDIA
“Biscuit’s use of Google Cloud shows how scalable cloud infrastructure can support real-world edge AI — from asynchronous data pipelines and analytics to continuous learning across distributed deployments.”
“Biscuit’s use of NVIDIA-powered edge compute highlights the next generation of intelligent devices — compact, responsive systems capable of delivering advanced AI experiences wherever customers are.”
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Compliance built in
SOC2-ready operational controls
Operational controls protect customer systems with encrypted data handling, access logging, and managed vendor review.
CCPA privacy workflows
Consumer data rights are supported with clear access, deletion, and opt-out workflows for privacy requests.
GDPR-aligned data handling
Data is encrypted in transit and at rest, with regional handling designed to keep personal data within approved boundaries.
Ready to deploy AI staff in the real world?
Launch physical AI staff across devices and apps, measure performance and improve outcomes.