Automate the back-office grind
- Sales lead capture → meeting booked
- Invoice & quote processing
- Support ticket triage and reply
Bespoke AI, wired into your business.
Cultivo OS bundles data infrastructure, machine learning, Agentic AI and Edge AI into one runtime — so small and mid-sized businesses can automate bespoke workflows in the cloud or at the edge, without stitching five vendors or hiring an AI team.
- 6 wks
- to live workflow
- 1 stack
- infra + ML + agents
- 0 AI hires
- required
Running on Cultivo OS
AgriPulsePower distribution substationsSMBsTextile manufacturingIndependent retailersAgriPulsePower distribution substationsSMBsTextile manufacturingIndependent retailers
Our position
A small business shouldn't have to become an AI company to automate a workflow. Cultivo OS ships the data infrastructure, ML models, Agentic AI and Edge AI pre-wired — so you configure the workflow, not the platform.
Why SMBs pick Cultivo OS
The bundled AI stack SMBs would build if they had a data team.
01
Deploy in 6 weeks, not 6 months
Cultivo OS ships with data infrastructure, connectors and agent runtime already integrated. Most bespoke workflows go live in under 6 weeks — no separate data team, warehouse project or AI hiring sprint.
02
Cut manual work by up to 80%
ML + Agentic AI handle repetitive decisions — scoring leads, routing tickets, reconciling invoices, dispatching riders — so your team focuses on exceptions and customers, not data entry.
03
Replace 3–4 tools with 1 stack
One bundled runtime covers data ingestion, storage, models, agents and actions. Fewer invoices, fewer integration breaks and one audit log for every prompt, policy and decision.
Cultivo OS
Four layers. One bundled platform.
Cultivo OS ships as one runtime plus a control plane. Data infra, ML and agents come bundled — drop it next to your existing tools, no rip-and-replace.
01OUTPUT
Automated workflow
Agent tool-calls that draft the quote, route the lead, reconcile the invoice, notify the operator — wired into the apps you already use.
02REASONING
Agentic AI + ML models
Multi-step agents with versioned prompts and guardrails, backed by classical ML for forecasting, scoring and anomaly detection.
03CONTEXT
Cultivo OS
One queryable business context across CRM, ERP, spreadsheets, documents and — when relevant — sensors and video.
04FOUNDATION
Bundled data infrastructure
Storage, pipelines and connectors ship with the platform. Edge AI-ready: deploys in the cloud or on-site at the edge when latency, privacy or the network matters.
Use cases
Bespoke workflows, one bundled platform.
Templates to start from, bespoke to finish. Cloud by default; edge deployment when the site needs it.
Shaped around how you actually operate
- Online delivery routing & dispatch
- Retail replenishment & pricing
- Ops reporting from your own data
Digital agriculture value chain
- Farmer onboarding & digital profile
- Risk scoring for finance & inputs
- Agronomy advice + market linkage
See it run
Watch Cultivo automate a real business loop.
Pick a workflow. Every stage below runs on the same bundled stack — data infra, ML, Agentic AI — with a logged prompt and policy for every action.
Auto-play on
- INPUTS
- CONTEXT
- AGENT
- ACTIONS
- OUTCOME
01INPUTS
Lead captured from sales activity
A lead arrives from email, LinkedIn, a call note or an event scan.
- Source: outbound sequence + LinkedIn reply
- Enrichment: company size, role, intent signals
- Payload: contact, firmographics, 2 prior touches
event.received: lead.inbound(id=lead_9182, source=linkedin)
Case Studies
Case Study · Agriculture value chain
"Cultivo connects farmers end to end — from digital onboarding and finance risk scores to agronomy advice and market linkage."
— AgriPulse value chain platform
Read the case briefEnd to end
onboard → score → advise → sell
↓
fertiliser & pesticide use
On time
sales of perishable goods
1 stack
data infra + ML + agents
Case Study · Edge-native AI infrastructure
"Cultivo deploys an intelligent enterprise inside the factory — Edge-Native AI Infrastructure, Agentic ERP, workflow automation and manufacturing intelligence on one private stack."
— Mid-sized textile manufacturer
Read the case brief15–25%
production efficiency gain
↓ 20–30%
machine downtime
↓ up to 90%
quality defects
↓ 10–20%
energy consumption
Start with one workflow
Automate your first workflow in 6 weeks.
Tell us the workflow that's costing you hours every week. We'll shape a bespoke build on Cultivo OS around the data and tools you already have.