Custom AI software built around
how your restaurant actually operates.
Off-the-shelf tools are built for the average restaurant. If your operation has a loyalty program, a commissary kitchen, catering logistics, or a proprietary ordering flow, Agaro's engineering team builds AI that fits your process — not the other way around.
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Operations summary across every custom ai software module deployed in your tenant — last 24 hours.
Engagements
Discovery → prototype → hardening → transfer. Every engagement runs the same four-phase rhythm.
// Engagements
// Discovery → prototype → hardening → transfer. Every engagement runs the same four-phase rhythm.
export const engagements = {
live_engagements: '5',
avg_cycle: '14 wks',
on_schedule: '5/5',
handover_90d_tail: '4 active',
};
Models
Fine-tuned, distilled, and adapter-trained models in registry — including parameter-efficient methods that fit your inference budget.
// Models
// Fine-tuned, distilled, and adapter-trained models in registry — including parameter-efficient methods that fit your inference budget.
export const models = {
models_in_registry: '24',
adapter_sets: '142',
avg_inference: '142ms',
ip_ownership: '100%',
};
Evals · CI
Custom evals you run continuously, so model regressions are caught in CI, not in the field.
// Evals · CI
// Custom evals you run continuously, so model regressions are caught in CI, not in the field.
export const evals_ci = {
eval_suites: '142',
coverage: '84%',
pass_rate: '98.4%',
regressions_caught: '4',
};
Builds
CI pipelines, build artefacts, and deploys for every engagement — containers, IaC, and runbooks shipped together.
// Builds
// CI pipelines, build artefacts, and deploys for every engagement — containers, IaC, and runbooks shipped together.
export const builds = {
builds_24h: '142',
build_time_avg: '4m 11s',
deploys: '12',
crash_free: '99.94%',
};
Data pipelines
Retrieval, embeddings, ingestion, and training pipelines — wired into your sources with backpressure and replay.
// Data pipelines
// Retrieval, embeddings, ingestion, and training pipelines — wired into your sources with backpressure and replay.
export const pipelines = {
active_pipelines: '24',
events_24h: '14M',
embedding_rate: '4.2K/s',
vector_store: '88GB',
};
Handover
Architecture docs, ADRs, runbooks, and 90-day support tail — knowledge transfer baked in from week one.
// Handover
// Architecture docs, ADRs, runbooks, and 90-day support tail — knowledge transfer baked in from week one.
export const handover = {
engagements_transferring: '4',
pair_sessions_30d: '24',
runbooks: '14',
90_day_tail: '3 active',
};
What custom ai software actually does for restaurants.
Domain-tuned models
Fine-tuning, distillation, and adapter training on your data — including parameter-efficient methods that fit your inference budget.
Agent systems
Multi-step, tool-using agents with planning, verification, and the supervision loops your operators trust.
Evaluation harnesses
Custom evals you run continuously, so model regressions are caught in CI, not in the field.
Safety & red-team
Adversarial testing against jailbreaks, prompt injection, and the failure modes specific to your domain.
Deployment-ready code
We ship containers, infrastructure-as-code, runbooks, and the documentation your SRE team needs to operate it.
Knowledge transfer
Pair with your engineers from week one. By the end, your team owns and operates what we built together.
Engineered to a standard, not a slogan.
Modules that compose with this one.
What restaurants buyers ask about custom ai software
— before they sign.
Deploy custom ai software
for your restaurants team.
A 30-day pilot will show you the integration shape, the operator experience, and the audit trail your team will ask about — delivered by a senior engineering team that ships AI to production for restaurants, multi-location groups, and hospitality operators.
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