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.
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.
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.
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.
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.
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.
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.
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.
3.Technologies Used
CMSIS-DSP, NEON/SIMD, IIR/FIR filters, MFCC flows, wavelet transforms, RMS/variance stacks, fixed-point arithmetic.
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.
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.
3.Technologies Used
TensorFlow Lite Micro, CMSIS-NN, Glow, NXP eIQ, ONNX, INT8 kernels, QAT/PTQ, operator fusion.
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.
2.Why Is It Needed?
AI must run alongside CAN messages, timers, motor control, safety tasks — without missing deadlines.
3.Technologies Used
RTOS scheduling, static arenas, zero-copy buffers, hardware timers, C/C++ inference runtimes, failsafe wrappers.
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.
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.
3.Technologies Used
EKF/UKF, attention-based fusion, time-warps, weighted fusion, jitter buffers, multi-sensor clocks.
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.
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.
3.Technologies Used
CNN1D, TCN, Autoencoders, RUL prediction, NILM algorithms, fault signatures, anomaly scoring engines.
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.
2.Why Is It Needed?
Fleet monitoring, diagnostics, live telemetry, remote tuning, and OTA updates require reliable and secure connectivity.
3.Technologies Used
MQTT, WebSocket, HTTPS, TLS/mTLS, AWS IoT, Azure IoT Hub, GCP, CBOR payloads, binary serialization.
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.
2.Why Is It Needed?
Your AI needs to evolve. Firmware may need patches. Security must stay updated. Manual updates are impossible at scale.
3.Technologies Used
A/B partitions, delta updates, RSA/ECC signing, rollback protection, encrypted OTA pipelines, secure bootchains.
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.
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.
3.Technologies Used
Secure Boot, HSM/HSE/CSEc, TrustZone, TLS/mTLS, encrypted model blobs, TARA, CSMS alignment.
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.
2.Why Is It Needed?
OEMs demand evidence, not assumptions. AI must be validated under noise, load, temperature, and unpredictable conditions.
3.Technologies Used
Signal replayers, HIL benches, latency analyzers, noise injection, soak testing, golden vector testing.
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.
2.Why Is It Needed?
Unoptimized Edge AI systems can overheat, drain battery, miss deadlines, or fail under sustained load.
3.Technologies Used
SIMD/NEON, CMSIS-NN, DMA offloading, DVFS tuning, cache-aware memory layouts, zero-copy inference.
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.
2.Why Is It Needed?
Automotive and energy sectors require AIS-189, ISO 21434, safety reports, cybersecurity evidence, and update logs.
3.Technologies Used
TARA, CSMS mappings, traceability matrices, security documentation, update lifecycle logs.
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.
2.Why Is It Needed?
Real-world conditions change. Without drift monitoring, your AI becomes inaccurate over time.
3.Technologies Used
Shadow inference, A/B rollouts, fleet telemetry, cloud registries, OTA versioning, drift KPIs.
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.
2.Why Is It Needed?
A system is only successful if your engineers can maintain, update, and extend it independently.
3.Technologies Used
SDK toolchains, CI/CD scripts, annotated source, training labs, developer workshops.
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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