Chip-to-cloud engineering · Bengaluru, India

Engineering intelligent systems from silicon to cloud.

Automotive, industrial and AI-integrated digital products — designed, built, tested and supported by one multidisciplinary engineering team.

6engineering areas
4ways to work with us
3+years of delivery
Live engineering system view
01 · Chip design

RTL, verification and physical layout take shape as silicon.

02 · Controller build

The chip is placed on a board with firmware-ready peripherals.

03 · Sensors activated

Sensors wake up and stream live signals to the controller.

04 · Connected

The device links wirelessly to gateways and the outside world.

05 · Network

Secure transport carries data across the mesh to the platform.

06 · Cloud

Data lands in the cloud for storage, DevOps and analytics.

07 · Intelligence

AI models turn the data into decisions that act back on the device.

Engineered to
recognised standards
18

Engineering capabilities across six areas

19

Training programmes in five tracks

12

Engineering role families on demand

8

Standards we design and test against

03 · Technology system view

Move from technology to system.

Silicon, devices, intelligence, connectivity, security and cloud are engineered as one system — so a signal measured on a machine or a vehicle becomes a reliable decision, and acts back on the device.

  1. ChipSemiconductor and VLSI foundations
  2. DeviceEmbedded firmware, sensors and Linux
  3. IntelligenceAI, computer vision, GenAI and edge inference
  4. ActionAutomation, robotics, vehicle and industrial control
  5. ConnectedIoT, gateways, APIs and data flows
  6. SecureCybersecurity and functional safety
  7. CloudCloud, DevOps, MLOps and digital platforms

How a signal becomes a decision

One path from sensor to insight, with the technologies used at each step.

1
SenseSensors, ADCs and CAN / LIN inputs
I2C · SPI · CAN
2
ProcessMCU / SoC firmware, RTOS and drivers
C · RTOS · Linux
3
DecideEdge AI, control loops and safety logic
ONNX · PID · ISO 26262
4
ConnectSecure gateway and transport
MQTT · TLS · OTA
5
AnalyseCloud data, dashboards and MLOps
AWS · Kafka · Grafana
Tools, languages and standards by area →

05 · How we work

A clear path from requirement to supported release.

Define → Engineer → Test → Deliver. The same delivery logic connects every discipline, with a tangible outcome at each stage.

  1. 01

    Define

    Agree requirements, constraints and success criteria.

    OutcomeA shared engineering brief
  2. 02

    Engineer

    Design, build and integrate the hardware and software.

    OutcomeA working system
  3. 03

    Test

    Verify interfaces, performance, safety and reliability.

    OutcomeEvidence for release
  4. 04

    Deliver

    Deploy, document and support the system in operation.

    OutcomeA supported release
Field engineer commissioning equipment on site
FDE modelField / forward deployed engineers

07 · Partnerships & investor relations

Let’s build something together.

We work with investors, strategic business partners and technology companies to scale AI products and engineering operations — and with engineering-service, consulting and staff-augmentation partners to deploy field engineers close to client environments.

InvestAngel and startup investors backing engineering-led technology and AI products.
PartnerBusiness, technology and industry partners expanding delivery and market reach.
DeployFDE partners supporting integration, deployment and delivery on client sites.

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