Aflo Systems — Operational Systems for Industrial Teams

Inspection software

We build structured workflows for field inspection — from image capture and annotation through to findings, decisions, and verified closure. Our primary deployment is in wind energy.

ML training workflows

We design and run training pipelines for visual inspection models — data preparation, labelling, fine-tuning, and validation. Built around specific industrial tasks, not general-purpose benchmarks.

Custom hardware systems

We build and operate drone hardware and develop applications for robotic platforms. These are available for specific project engagements and are customised to the requirements of each deployment.

Rotor inspection route Bhuj Cluster / 12 turbines / 36 blades

Capture Site, turbine, blade, route

Evidence lands with structure instead of ad hoc folders.

Review Severity, rationale, recommendation

SME decisions remain visible downstream to operations.

Closure Proof before handback

Field completion is verified with before and after evidence.

Field capture

One product, many collection modes

Drone, rope access, and ground-based inspections feed the same operational record.

Drone Rope Ground

Multilingual

Clear for field teams, not only headquarters

Labels, task states, and approval language can be presented with low-friction visual cues.

English हिन्दी தமிழ் ಕನ್ನಡ

01

Capture

Upload blade images from drone, rope access, or ground-based inspections. Organized by site, turbine, and blade position.

02

Annotate

Mark and classify defects directly on blade images using a built-in canvas tool. Tag severity, label, and verify.

03

Review

Subject matter experts turn annotations into formal findings with severity classification, defect type, root cause, and recommended action. Structured approval ensures nothing moves forward without sign-off.

04

Decide

Project managers create action cases against approved findings: monitor, reinspect, repair, replace, defer, or escalate to vendor. Each decision is tracked and approved.

05

Execute

Work orders assigned to field technicians with clear scope. Technicians upload before and after proof of completed work.

06

Close

SMEs verify completed work. Verified work orders close out. Incomplete work gets sent back with clear feedback. The loop is closed.

Approvals

Role-aware handoffs stay visible

The same finding carries status, owner, due date, and audit context across every handoff.

Evidence

Before and after proof is part of the work

Closure does not depend on email trails or loose attachments. Evidence remains attached to the object.

Portfolio view

Site context never disappears

Managers can move from a site network view down to a single blade defect without breaking continuity.

Role-scoped access

Each person in the workflow sees what is relevant to them. Inspectors see their assigned sites. Engineers see findings awaiting review. Managers see the full picture across sites.

Works across languages

The interface is designed to function clearly for field teams regardless of language background — with visual task flows and minimal reliance on text-heavy instructions.

Evidence stays attached

Before and after images are part of the work order, not a separate folder or email. Closure requires verification — not just a status change.

One record, many teams

The same finding moves through inspection, engineering review, site management, and field execution without being re-entered or duplicated at each step.

" The information collected in the field is only useful if it reaches the right person in a form they can act on.

That is the problem Atom was built to solve. Most inspection processes involve a gap between what is found on site and what gets done about it — and that gap is usually filled with spreadsheets, email threads, and informal coordination. Atom replaces that with a structured record that follows the work from start to finish.

Unitree Go2 EDU

Custom applications on the Go2 platform

We develop and deploy applications on the Unitree Go2 EDU — a production-grade quadruped with 4D LiDAR, high-performance compute, and a force-sensitive foot system built for real operating environments.

4D LiDAR L1 360° × 90° omnidirectional scanning

Front Camera 1280×720 · 120° field of view

12 Knee Joint Motors Powerful motors for advanced movement

Computing Core ARM CPU · AI processor · ORIN NX/NANO

Smart Battery 8000 mAh standard · 15 000 mAh extended

Foot Force Sensor Real-time foot perception per step

Custom Drones

Drone hardware and ML training pipelines

We build and operate custom drone systems, and design the training pipelines that put them to work — data labelling, model fine-tuning, and validation against real inspection data from the field.

Renewable Energy

Wind and solar field operations

Our renewable deployments are grounded in live site workflows: turbine blade inspection, evidence review, maintenance decisions, and operational coordination across wind and solar assets.

Defence Sector

Anti-spoofing and anti-jamming UAV navigation

We are developing layered resilience for autonomous UAVs in contested environments using EKF sensor-fusion integrity checks, behaviour-based AI spoofing detection, and decentralised swarm consensus with GNSS-denied fallback via inertial, barometric, and vision-aided modes.

We are a small team and we take on work we can do properly. That means scoping projects carefully, being direct about what we can and cannot build, and staying involved through deployment rather than handing off early.

The systems we build are used by people in the field — drone operators, site technicians, blade engineers. We design for that environment, not for a boardroom demonstration.

Built for teams across languages

Our work is used in India across multiple states, and increasingly with international operators. We design interfaces that work clearly regardless of the user's primary language — visual task flows, consistent patterns, and minimal dependency on reading instructions.

A field technician in Gujarat and an engineering team in Germany should be able to use the same system without either needing a special version.

We are based in Hyderabad and have built, tested, and deployed in real operational environments. That experience shapes how we approach every new project.

01

Based in Hyderabad

We are an Indian company, building for Indian operating conditions first — and for international operators who need systems that work in the field, not just in the office.

02

Renewable energy background

Our primary industry experience is in wind energy. We have worked on inspection projects and understand the operational realities of running and maintaining turbine fleets.

03

Software and hardware

We build across both. Our software and hardware capabilities are developed in-house, which lets us take on projects that sit at the intersection of the two.

04

Small and deliberate

We are selective about what we take on. We would rather do fewer things well than spread across projects we cannot deliver properly.

Via Aflo Atom

Wind energy & renewable assets

Inspection, maintenance, and operational workflows for turbine fleets.

Industrial inspection

Structured capture, review, and reporting workflows.

Asset operations

Better visibility across condition, action, and execution.

Factory and field environments

Operational intelligence, monitoring, and workflow support for real industrial settings.

Hazardous and hard-to-access sites

Remote observation, robotic inspection, and safer ways to collect operational information.

Get in touch.

If you are working in the renewable energy sector and want to talk about inspection workflows, ML training, or custom hardware — we are happy to have a conversation.

What we do