Custom IoT · Remote control · Applied analytics

Make distant equipment feel local.

Frame Analytics engineers the complete path from physical signal to controlled action: edge hardware, resilient communications, software, automation, and decision-ready data.

Explicit command boundaries Cellular-first deployments Customer-specific analysis
FRAME // LIVE SYSTEM ONLINE
EDGE Controller 07 LTE · GPS · Relay
CORE Frame Platform Rules · Events · State
ACTION Pump Array 3 relays · nominal
TELEMETRY

flow.rate 41.8 gpm

RULE

pressure.delta within profile

COMMAND

pump.set_state accepted

15+Years infrastructure experience
4Integrated system layers
1Operational control loop
0Arbitrary public commands

What we build

One connected system.
None of the usual gaps.

IoT projects usually fail in the seams between device, network, cloud, and operator. We own those seams instead of pretending another vendor will.

01

Connected Controllers

Low-power Linux edge devices that collect signals, report state, enforce local policy, and control supported equipment through explicit handlers.

  • 4G LTE, Wi-Fi, Ethernet
  • Sensors, relays, GPS, serial
  • Watchdogs and safe defaults
Explore Controllers
02

Control Platform

Authenticated messaging, Controller identity, command lifecycle, scheduling, state, and integration boundaries built to survive unreliable networks.

  • Typed AMQP messages
  • Signed and expiring commands
  • Auditable result state
See the platform
03

Analytics Engine

Dashboards, alerts, reports, schedules, rules, and customer modules that turn raw telemetry into operational context and controlled decisions.

  • Fleet status and trends
  • Customer-specific metrics
  • Alerts, schedules, workflows
Explore analytics
04

Custom Engineering

Hardware integration, embedded Linux, APIs, DevOps, deployment automation, observability, and field support built around the equipment already in use.

  • Prototype through production
  • Containerized operations
  • Recovery and runbooks
Describe your system

The operating loop

Sense. Connect. Understand. Act.

Every deployment is designed as one controlled loop, with explicit behavior when power, connectivity, hardware, or assumptions fail.

  1. 01

    Sense

    Collect equipment state, environmental readings, position, images, flow, or deployment-specific signals.

  2. 02

    Connect

    Move state through cellular or local links with retries, identity, encryption, and honest offline behavior.

  3. 03

    Understand

    Apply rules, trends, alerts, domain logic, and the context operators need before changing physical state.

  4. 04

    Act

    Issue bounded, authorized, expiring commands and verify results separately from transport acknowledgements.

Built for the physical world

The platform behaves like infrastructure because it is infrastructure.

A dashboard is the easy part. The actual work is maintaining identity, connectivity, command safety, state, recovery, and evidence across equipment that may be miles away and inconvenient to reach.

  • Local-first Controller behavior
  • Externalized secrets and configuration
  • Explicit logs, health, and command state
  • Containerized, reproducible deployment
Why Frame Analytics
frame://deployment/profileread-only

$ frame inspect controller-07

identity verified

transport LTE / AMQPS

telemetry_age 1.8s

local_policy loaded

supported_ops ['pump.off', 'flow.set']

$ frame command controller-07 pump.off

status accepted → delivered → succeeded

$

LTE
AMQP
GPIO
LIVE PATHBrowser → Broker → Raspberry Pi

Live demonstration

Send one real command to one real Controller.

Enter led.on(). The website validates the exact text, applies CSRF and rate limits, signs a short-lived message, and publishes only to website Controller. A webcam shows the physical result.

Not a shellEvery other command is rejected.

Fixed routeThe browser cannot select the destination.

Physical proofThe camera—not HTTP—confirms actuation.

Open the live demo

Frequently asked

Useful answers before the first call.

Enough substance to determine whether there is a real fit. The sales-fog machine remains mercifully unplugged.

Read public documentation
What does Frame Analytics actually deliver?

A deployment-specific combination of Controller hardware, connectivity, platform services, dashboards, automation, integrations, operating documentation, and support. The exact mix follows the physical system and outcome.

Does the platform require cellular connectivity?

No. Cellular is a strong option for field systems, but Controllers can use Wi-Fi, Ethernet, serial, or a deployment-specific path. Local behavior must remain safe when every external network disappears.

Can it control existing equipment?

Usually, provided there is a safe and supportable electrical, serial, network, or API interface. The engineering starts with the equipment manual and failure modes—not with a generic cloud dashboard.

Is generative AI required?

No. Deterministic rules and ordinary software remain the correct tool for many operational decisions. Assisted analysis can be added where useful, but it should not replace explicit safety policy or equipment controls.

Can I begin with a small pilot?

Yes. A narrow pilot with one measurable outcome is often the least wasteful route. It should still include production-shaped identity, logs, recovery, and command boundaries so the pilot teaches something useful.

Build the missing link

What do you need to see, understand, or control?

Start with the equipment, location, signals, power, network, operators, and failure conditions. We will start there too.