Edge AI Engineering Service’s

THE 15 EDGE AI ENGINEERING SERVICES

1. Development of Edge Hardware & Embedded Platform Architecture

1.What Is This Service?
We design the entire hardware foundation for your Edge AI device — selecting the right MCU/MPU/NPU, deciding memory architecture, structuring power domains, planning security perimeters, and integrating CAN, Ethernet, MIPI, ADCs, and sensors. This is where the product’s intelligence starts.
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2.Why Is It Needed?
A wrong chip or architecture can cause overheating, memory overflow, latency failures, BOM overshoot, or AI models not fitting in RAM. Strong architecture ensures scalability, security, real-time performance, and OEM compliance.
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3.Technologies Used
NXP S32K3, NXP i.MX93 (NPU), STM32H7, ESP32-S3, Infineon AFEs, QSPI Flash, DDR, TrustZone-M, HSE/CSEc, CAN FD, 100BASE-T1 Ethernet, MIPI-CSI.
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4.How Gettobyte Helps
Gettobyte benchmarks your workload on real silicon, validates thermal headroom, and architect a production-grade platform that is defensible, future-proof, and optimized for your Edge AI pipeline.
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2. Sensor Data Acquisition & Real-Time Firmware

1.What Is This Service?
We engineer deterministic, low-jitter sensor pipelines using DMA, timers, interrupts, circular buffers, and synchronization logic. This converts raw physical signals into precise digital data streams.
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2.Why Is It Needed?
AI accuracy collapses if data is noisy, misaligned, delayed, jittery, or incomplete. Real-time acquisition ensures clean, stable, timestamp-accurate inputs for ML inference.
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3.Technologies Used
DMA double-buffering, ISR latency tuning, FreeRTOS, bare-metal C, ADC calibration, CAN-FD stacks, SPI/I2C high-speed streaming, timestamp fusion.
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4.How Gettobyte Helps
We build firmware that guarantees zero-loss, jitter-free acquisition — delivering the quality of input AI models need for automotive and industrial reliability.
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3. Data Preprocessing & Feature Engineering

1.What Is This Service?
We transform raw sensor data into intelligent mathematical features using fixed-point DSP, FFT, MFCC, wavelets, filters, and statistical feature extraction.
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2.Why Is It Needed?
MCUs cannot run massive cloud-like models. DSP transforms allow smaller TinyML models, faster inference, and higher accuracy, even on low-power hardware.
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3.Technologies Used
CMSIS-DSP, NEON/SIMD, IIR/FIR filters, MFCC flows, wavelet transforms, RMS/variance stacks, fixed-point arithmetic.
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4.How Gettobyte Helps
We design custom DSP feature stacks that match your use-case and dramatically improve AI reliability under real-world noise.
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4. AI Model Development and Optimization & TinyML Deployment

1.What Is This Service?
We convert your Python-trained models into TinyML-optimized binaries using quantization, pruning, graph transformation, and hardware acceleration.
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2.Why Is It Needed?
Cloud-sized models cannot run inside 256 KB RAM or meet <10 ms inference requirements. They must be redesigned for embedded constraints.
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3.Technologies Used
TensorFlow Lite Micro, CMSIS-NN, Glow, NXP eIQ, ONNX, INT8 kernels, QAT/PTQ, operator fusion.
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4.How Gettobyte Helps
We reduce your model size by 5–20× while maintaining accuracy and validating everything on real target hardware.
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5. Embedded Inference Pipeline Integration

1.What Is This Service?
We integrate the entire sensor → DSP → ML → decision loop into your firmware, ensuring it runs predictably, safely, and without disturbing control loops.
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2.Why Is It Needed?
AI must run alongside CAN messages, timers, motor control, safety tasks — without missing deadlines.
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3.Technologies Used
RTOS scheduling, static arenas, zero-copy buffers, hardware timers, C/C++ inference runtimes, failsafe wrappers.
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4.How Gettobyte Helps
We embed your model inside a deterministic, real-time execution pipeline, ensuring the product behaves reliably under all load conditions.
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6. Multi-Sensor Fusion & Context Awareness

1.What Is This Service?
We fuse IMU, ToF, camera, shunt, CAN, and environmental data using Kalman filters, ML fusion heads, and timestamp alignment, enabling richer situational awareness.
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2.Why Is It Needed?
Single sensors often produce false positives. Fusion stabilizes predictions and makes AI robust to noise, drift, vibration, lighting changes, and sensor dropouts.
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3.Technologies Used
EKF/UKF, attention-based fusion, time-warps, weighted fusion, jitter buffers, multi-sensor clocks.
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4.How Gettobyte Helps
We engineer fusion systems that deliver high-confidence decisions, essential for automotive and industrial-grade reliability.
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7. Domain-Specific AI Algorithm Development

1.What Is This Service?
We design algorithms tailored for your domain — automotive, industrial, energy, or consumer devices — instead of using generic ML.
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2.Why Is It Needed?
Real-world signals behave differently across domains. A motor vibration pattern is not the same as driver drowsiness or electrical tampering. Domain modeling is essential for accuracy.
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3.Technologies Used
CNN1D, TCN, Autoencoders, RUL prediction, NILM algorithms, fault signatures, anomaly scoring engines.
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4.How Gettobyte Helps
We embed domain physics + ML expertise into your algorithms, ensuring real-world consistency and minimal false alarms.
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8. Edge Connectivity & Cloud Integration

1.What Is This Service?
We enable secure, low-bandwidth communication between your device and cloud dashboards.
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2.Why Is It Needed?
Fleet monitoring, diagnostics, live telemetry, remote tuning, and OTA updates require reliable and secure connectivity.
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3.Technologies Used
MQTT, WebSocket, HTTPS, TLS/mTLS, AWS IoT, Azure IoT Hub, GCP, CBOR payloads, binary serialization.
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4.How Gettobyte Helps
We build optimized, secure pipelines that enable real-time visibility into thousands of deployed devices.
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9. OTA Update Framework (Firmware + AI Models)

1.What Is This Service?
We build robust, secure OTA infrastructure for firmware, configurations, and AI model updates.
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2.Why Is It Needed?
Your AI needs to evolve. Firmware may need patches. Security must stay updated. Manual updates are impossible at scale.
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3.Technologies Used
A/B partitions, delta updates, RSA/ECC signing, rollback protection, encrypted OTA pipelines, secure bootchains.
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4.How Gettobyte Helps
We deliver a fault-proof OTA system that updates thousands of devices safely — without bricking or downtime.
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10. Cybersecurity Engineering (AIS-189 / ISO 21434)

1.What Is This Service?
We secure your entire device — boot sequence, keys, firmware, models, communications, and update mechanisms.
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2.Why Is It Needed?
Edge AI devices face increasing attacks — model theft, spoofing, tampering, OTA injection, cloning. Regulations like AIS-189 now mandate cybersecurity.
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3.Technologies Used
Secure Boot, HSM/HSE/CSEc, TrustZone, TLS/mTLS, encrypted model blobs, TARA, CSMS alignment.
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4.How Gettobyte Helps
We implement all required security layers and generate OEM & regulatory evidence, ensuring your system is secure-by-design.
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11. Verification, Validation & HIL Testing

1.What Is This Service?
We test your AI + firmware behavior under simulated real-world conditions, long-duration stress, and corner-case scenarios.
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2.Why Is It Needed?
OEMs demand evidence, not assumptions. AI must be validated under noise, load, temperature, and unpredictable conditions.
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3.Technologies Used
Signal replayers, HIL benches, latency analyzers, noise injection, soak testing, golden vector testing.
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4.How Gettobyte Helps
We uncover hidden issues and provide industry-grade validation reports that accelerate production approvals.
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12. Performance, Power & Thermal Optimization

1.What Is This Service?
We improve speed, reduce energy consumption, and manage thermal load through kernel-level optimization.
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2.Why Is It Needed?
Unoptimized Edge AI systems can overheat, drain battery, miss deadlines, or fail under sustained load.
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3.Technologies Used
SIMD/NEON, CMSIS-NN, DMA offloading, DVFS tuning, cache-aware memory layouts, zero-copy inference.
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4.How Gettobyte Helps
We deliver a cool, fast, efficient system suitable for continuous production operation.
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13. Compliance, Safety & Certification Enablement

1.What Is This Service?
We prepare engineering documentation, evidence packs, and traceability required for regulatory and OEM certification.
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2.Why Is It Needed?
Automotive and energy sectors require AIS-189, ISO 21434, safety reports, cybersecurity evidence, and update logs.
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3.Technologies Used
TARA, CSMS mappings, traceability matrices, security documentation, update lifecycle logs.
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4.How Gettobyte Helps
We help you pass OEM procurement and government homologation with complete certification-ready artifacts.
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14. Edge MLOps & Fleet-Level Lifecycle Management

1.What Is This Service?
Managing deployed models across thousands of devices — detecting drift, pushing updates, and monitoring prediction quality.
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2.Why Is It Needed?
Real-world conditions change. Without drift monitoring, your AI becomes inaccurate over time.
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3.Technologies Used
Shadow inference, A/B rollouts, fleet telemetry, cloud registries, OTA versioning, drift KPIs.
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4.How Gettobyte Helps
We build full lifecycle ecosystems ensuring your deployed AI improves continuously instead of degrading.
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15. SDKs, Documentation & Developer Enablement

1.What Is This Service?
We provide SDKs, APIs, training, and developer documentation to empower your internal engineering team.
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2.Why Is It Needed?
A system is only successful if your engineers can maintain, update, and extend it independently.
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3.Technologies Used
SDK toolchains, CI/CD scripts, annotated source, training labs, developer workshops.
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4.How Gettobyte Helps
We ensure your team becomes self-sufficient with rich documentation, training, and hands-on enablement.
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ENGINEERING THE FUTURE OF
INTELLIGENT DEVICES

Edge AI is the future of intelligent machines — devices that can sense, think, act, and evolve.
But building such systems requires a combination of embedded engineering, AI expertise, security design, real-time firmware, hardware mastery, validation discipline, and lifecycle intelligence.

Gettobyte is one of the very few engineering companies capable of delivering all of these seamlessly.

Whether you’re an OEM developing a next-generation ECU, a startup launching an industrial AI device, or an energy company modernizing smart metering infrastructure — we engineer the intelligence that makes your product truly smart, reliable, and scalable.

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