CLU is The Agent Factory — a company that builds and deploys AI agents on demand. Describe your operation or pain point and CLU designs, deploys, and runs AI agents that do the work. 85.3% cost reduction and 37x faster resolution verified in production.

What is the difference between a SmartAgent and a Skill in CLU?

A SmartAgent is an autonomous multi-step reasoning process that uses LLM reasoning, decision branching, and human-in-the-loop gates — suited for complex workflows. A Skill is a pre-defined execution pattern that runs in under 50ms with zero LLM tokens — suited for deterministic, event-triggered tasks. CLU Skills are compatible with Claude's CLAUDE.md format.

How does CLU reduce operational costs by 80%?

CLU automates end-to-end business processes with autonomous SmartAgents and Skills. Tasks that required multiple people over days — like regulatory filings, claims processing, or post-consultation coordination — are completed automatically in minutes. Human involvement is limited to decisions that genuinely require it.

What integrations does CLU support?

CLU provides 30+ production-grade connectors including Google Sheets, SAP RFC, HubSpot, Salesforce, SendGrid, WhatsApp, Slack, Shopify, MercadoLibre, BigQuery, and more. All connectors are available via the CLU API at api.clu.lat.

What industries does CLU serve?

CLU serves consulting, e-commerce, healthcare, finance, SaaS, and manufacturing/mining enterprises. Use cases include meeting summary automation, dynamic pricing, appointment coordination, regulatory filing, usage-based upsell flows, and SAP supply chain orchestration.

How does CLU handle security and credentials?

CLU includes a Vault module with AES-256 encryption for all credentials. No API key or secret is ever exposed in code, logs, or responses. Access is scoped per agent and per skill, with a full immutable audit trail of every credential access.

🐟 Aquaculture · Autonomous Feeding Optimization

Salmon Feeding Optimization in Real Time: a 0.05 FCR Improvement Worth USD 17M a Year

From Static Feeding Tables to Real-Time Precision — USD $17M Annual Savings per 0.05 FCR Improvement

50,400 autonomous feeding decisions per day. 6 agents. Episodic memory. Payback in <1 week.

Solution design · numbers modeled on the operation described

944×

ROI vs. annual Growth plan cost ($17,988)

USD $17M

Annual savings (conservative FCR –0.05 pts)

50,400

Autonomous feeding decisions per day

Feed is 45–50% of total production cost. We apply fixed feeding tables even when oxygen drops, temperature spikes, or fish are stressed. Every suboptimal decision — made manually, 50,000 times a day — burns money we can't recover.

// the problem

Feed represents 45–50% of total aquaculture production cost. AquaChile consumes ~435,000 tons of feed per year to produce 282,903 tons of salmon. Operators apply static feeding tables even when O₂ drops, temperature spikes 2°C, or fish exhibit stress behavior — resulting in overfeeding (pellets sinking to the fjord floor) or underfeeding (elevated FCR, lost biomass). Operators must simultaneously process 8+ real-time variables per cage: temperature, O₂, CO₂, salinity, estimated biomass (cameras), fish behavior, pellet size, stocking density, health status, and sea lice presence. No static table captures this dynamic complexity. A single moderate hypoxia event caused $3.6M in biomass losses at a competing operation.

// what CLU does

CLU deploys AquaOps: a 6-agent system running on a continuous 30-minute cycle per cage, 24/7. Env Monitor Agent reads all IoT sensors and detects environmental degradation trends; Vision Agent analyzes underwater camera footage to classify fish appetite; Memory Agent queries episodic memory for the optimal dose under similar historical conditions; SAP Executor verifies live feed inventory via RFID; AquaOps Brain calculates the optimal dose and frequency crossing all variables; Feed Executor sends the command to the remote feeder via 5G/Starlink and logs the result in SAP. For hypoxia events (O₂ <7 mg/L), feeding suspends immediately and a HITL WhatsApp alert reaches the center manager within 1 minute.

// the agents, in order

1
Env Monitor Agent
Reads O₂, temperature, CO₂, and salinity sensors every 15 min per cage — detects degradation trends, triggers hypoxia protocol instantly if O₂ <7 mg/L
2
Vision Agent
Processes underwater camera frames every 30 min — classifies fish appetite as GOOD (surface), MODERATE (mid-water), or LOW (bottom, lethargic) using computer vision
3
Memory Agent
Queries episodic memory for similar past conditions (±1°C, ±0.5 mg/L O₂) at this center and time of year — extracts dose that achieved the best FCR. Updates weekly with actual FCR data
4
SAP Executor
Reads live feed inventory via RFID (maxisaco bags) — confirms pellet type and size on pontoon. Alerts central warehouse automatically if stock falls below 48-hour threshold
5
AquaOps Brain
Calculates optimal dose crossing all variables — never exceeds base table +10% without human HITL approval. Outputs dose and frequency per cage for immediate execution
6
Feed Executor
Sends feeding command via 5G/Starlink to remote feeder — confirms execution, logs actual dose and timestamp in SAP S/4HANA for FCR tracking

// systems it talks to

IoT Sensors (O₂/Temp/CO₂/Salinity)
Underwater Cameras (5G/Starlink)
SAP S/4HANA (MM/PP)
RFID Feed Stock (Maxisacos)
Remote Feeding System API
WhatsApp Business API

// the economics

USD $17M annual savings (conservative) · 944× ROI vs. plan cost · <1 week payback on annual subscription

// CLU · the agent factory

Is your operation like this one?

Describe it in your own words on the home page. CLU draws your process as an operation map, with the agents, the systems and an estimate for your volume.

Draw it for my operation ▶or book 20 min

// more cases in Aquaculture

Sernapesca SIFA Mortality Reporting Automated from SAP for 70 Salmon Farming Centers95% of daily reports automated. $100K/year saved. Critical mortality events notified in <5 min.

← all use cases