LINTAS AIPowered by Satu Meja

Field / Sea operations

Technology builtfor real fisheriesoperations.

Built from how fishing businesses actually work: vessel and trip operations, finance, approvals and reporting.

Software · IOT · AIBuilt from real fisheries operations

Built from real operations.

Lintas AI is a new direction built on systems we have already delivered across fisheries, marine environments, and field monitoring.

01Delivered

Finna ERP — Fisheries operations

Operational software built around the real workflow of a fisheries business, connecting vessel operations, commercial activities, finance, approvals, and reporting.

  • Vessel and trip operations
  • Purchasing and sales
  • Accounting and approvals
  • Investor and management reporting

We already understand the business and operational side of fisheries.

Finna ERP accounting module showing the auto-journaling registry

One operating layerfor fisheries and aquaculture.

Lintas AI connects business operations, field data,and intelligent automation into one system.

Fishing vessel working open water in low light

Fisheries

Operating today

Managing vessel and trip operations,from catch to commercial and finance.

  1. Vessel
  2. Trip
  3. Catch
  4. Commercial
  5. Finance
  6. Reporting
  7. AI
Aquaculture ponds with paddlewheel aerators running

Aquaculture

Building next

Smart pond monitoring and automationfor better yield and sustainability.

  1. Pond
  2. Sensors
  3. Water quality
  4. Feeding
  5. Aeration
  6. Monitoring
  7. AI

Software, field data, and AIworking as one system.

Each layer feeds the next. Operations create the record, field sensors keep it current, and AI turns both into decisions the team can act on.

Operational Software

End-to-end operational software for fisheries and aquaculture business processes.

  • Vessel & Trip
  • Purchasing
  • Sales
  • Finance & Accounting
  • Approvals
  • Reporting & Analytics

IoT & Field Intelligence

Connect and monitor field assets and environments in real-time with reliable IoT.

  • Field Monitoring
  • Water Quality
  • Environment
  • Equipment Monitoring
  • Connectivity
  • Automation

AI & Agentic Operations

AI that understands operational context, helps decision-making, and executes workflows.

  • Smart Insights
  • Predictive Alerts
  • Operational Summary
  • Decision Support
  • Workflow Automation
  • Human-in-the-Loop

Pilot-ready directionsfor real operations.

We work with fisheries and aquaculture operators to turn operational problems into focused technology pilots using software, IoT, and AI.

Crew sorting the catch on deck at dusk

Fisheries Operations Intelligence

Make fisheries operations easier to understand, monitor, and manage.

Built on experience from Finna ERP and real fisheries business workflows.

  • Vessel & trip operations
  • Purchasing & sales
  • Finance & accounting
  • Approvals
  • Reporting
  • Operational summaries
  • AI-assisted analysis

Potential pilots

  • AI operational assistant
  • Automated daily or trip summaries
  • Anomaly detection across transactions
  • Reporting automation
  • Decision support for management
Telemetry buoy on open water with a support vessel behind it

Vessel & Field Monitoring

Connect what happens in the field to the people who need to act on it.

  • GPS & vessel position
  • Fuel monitoring
  • Equipment condition
  • Environmental sensors
  • Camera monitoring
  • Alerts
  • Remote visibility
  • Field to cloud connectivity

Potential pilots

  • Vessel telemetry dashboard
  • Fuel usage monitoring
  • Equipment health monitoring
  • Remote operational alerts
  • Camera or sensor-based field monitoring
Sea cages with paddlewheel aerators and a solar-powered sensor mast

Smart Aquaculture Operations

Direction, pilot opportunity

Bring real-time visibility and automation into aquaculture operations.

  • Water quality
  • Dissolved oxygen
  • pH
  • Temperature
  • Turbidity / TDS
  • Feeding
  • Aeration
  • Alerts
  • Automation
  • AI-assisted decisions

Potential pilots

  • Pond monitoring system
  • Water quality alerts
  • Automatic aerator control
  • Feeding optimisation
  • AI-generated pond condition summaries

How a pilot runs.

  1. Identify problemStart from a real operational issue together with the industry partner.
  2. Connect dataUse existing systems, sensors, documents, APIs, or new field devices where needed.
  3. Build pilotDevelop a focused solution around one measurable workflow.
  4. Measure impactEvaluate visibility, efficiency, response time, reliability, or decision-making.
  5. ScaleIf the pilot proves useful, expand it across more assets, locations, or business units.

Talk to us.

For pilot discussions, partnerships, and early collaboration, reach out directly to the people building Lintas AI.