Our engineering Senior teams, full IoT stack
Firmware, connectivity, edge AI, cloud, dashboards — all under one roof. The same engineers who design the system are the ones who own its operations rotation.
See our servicesFirmware, connectivity, edge AI, cloud, and the dashboards your operators actually use — all under one engineering team. From bench prototype to thousands of devices in the field.
Firmware on ESP32, STM32, Nordic, NXP. Connectivity stacks. Cloud ingestion. Operator dashboards. Same team end to end.
Learn moreOn-device classification, edge anomaly detection, RAG-grounded LLM features. Not demos — production-tested.
Learn moreAWS / Azure / GCP, infrastructure-as-code, observable deployments, FinOps-aware scaling. Always reversible.
Learn moreAbout Diglogic
Diglogic is a senior-led engineering studio. We design, build, and operate connected products end to end — and hand back systems your team can run.
Our engineering Firmware, connectivity, edge AI, cloud, dashboards — all under one roof. The same engineers who design the system are the ones who own its operations rotation.
See our services
Our process Discovery in week one. Working software in production-shaped staging by week two. Clear plan, fixed-scope quote, and a release cadence you can plan around.
How we work
Our outcomes Connected products that survive year three. Documented systems your in-house team can extend without us. A handover that closes — not a retainer that drifts.
View case studiesEcosystem
We deliver on the silicon, cloud, and AI ecosystems your team already runs on — never on a captive stack only we can maintain.
What we build
From silicon to dashboard. We build, document, and hand back systems your in-house team can extend without us.
From PCB to dashboard — firmware, gateways, and cloud platforms for connected products.
ExploreProduction-grade ML pipelines, LLM applications, and AI features grounded in your own data.
ExploreAWS, Azure, and GCP infrastructure with infrastructure-as-code, observability, and predictable cloud spend.
ExploreiOS, Android, and cross-platform apps engineered for offline-first reliability and store approval on the first review.
ExploreBespoke business systems, ERPs, and internal platforms built around how your operations actually run.
ExploreMarketing sites, web apps, and dashboards that load fast, rank well, and stay simple to extend.
ExploreThe platform
Devices, connectivity, cloud, operations, AI, and security — built on open standards and multi-cloud infrastructure. Hire us for the layer that hurts most; absorb the rest in-house.
Sensors, MCUs, gateways, edge compute
Open layerBLE, LoRa, Cellular, Wi-Fi, MQTT
Open layerIngest, time-series, dashboards, APIs
Open layerFleet, OTA, observability, runbooks
Open layerEdge AI, ML, predictive, GenAI
Open layerIdentity, encryption, certifications
Open layer// Stack
Boring, proven tools where it matters. Modern ones where they pay off. Always documented; never captive.
Case studies
A cross-section of what we have shipped — from sensor firmware to multi-region cloud platforms. Each story includes the constraint, the approach, and the measurable outcome.
Overview
An ESP32-based field sensor network that automates crop protection and gives farmers actionable advisories on a smartphone.
View case study
Overview
An IoT- and AI-enabled platform that automates check-in, access, energy use, and guest communication across a multi-property rental portfolio.
View case studyOverview
A consumer-friendly GPS tracker with companion mobile apps for vehicles, valuables, and people on the move.
View case studyIndustries we know
Less time learning your business — more time solving the actual problem.
Two paths in
You have an engineering team
We embed senior IoT engineers into your team for a focused engagement — firmware, edge, cloud, or AI — and stay just long enough to ship and document. No empire-building.
You don't have one yet
Whole-product delivery — discovery, design, firmware, cloud, mobile, dashboards, hypercare — under one engineering studio. You ship a connected product without hiring a department first.
Certifications & practices
Not a wall of badges. The frameworks and practices we actually deliver against, in every engagement.
Information security practices modeled on the ISO 27001 control framework. Independent audit-ready.
Every shipped product meets WCAG 2.2 AA accessibility. Audited per release.
Data-handling, residency, and consent flows designed to meet GDPR and India DPDP from day one.
Cloud architectures aligned with the AWS Well-Architected Framework and Azure equivalents.
Threat-modeled APIs, dependency scanning, and SAST/DAST in every pipeline. OWASP Top 10 coverage by default.
Medical-device software lifecycle practices — traceability, verification, and documented risk analysis.
Process
A predictable rhythm. You always know what we are doing this week, what we are doing next, and how it ends.
Week 1–2
We sit with your team, walk the existing system or whiteboard the new one, and produce a one-page plan with scope, risks, and a price range. No sales theater.
Weeks 2–12
Senior engineers ship working software in two-week increments. You see real progress in production-shaped staging on day fourteen — not a mockup, not a demo.
Weeks 12–16
Launch is a non-event when the work has been done well. We run hypercare alongside your team, write the runbooks, and harden whatever the production load surfaces.
Week 16+
We hand back a system your in-house team can extend without us. Documentation that matches the code. We stay available — but only if you want us to.
What we hold ourselves to
These four words shape every engagement. We hire for them, write contracts around them, and walk away from work that would force us to compromise on any one of them.
Words from teams we shipped with
“Diglogic took our prototype from a benchtop demo to thousands of devices in the field. Their firmware-to-cloud rigor saved us a year of rework.”
“The team designed our OTA pipeline so well that we ship firmware on a Tuesday afternoon now. That used to be a weekend war room.”
“They flagged a security flaw in our device identity scheme on day three of discovery. Worth the engagement on that finding alone.”
From the blog
How to architect on AWS IoT Core in 2026 — provisioning, rules engine, device shadow, and the patterns that age well at 10k, 100k, and 1M devices.
Read post: AWS IoT Core Architecture Patterns: Fleet Provisioning, Rules, ShadowsA practical comparison of Azure IoT Hub and Azure IoT Central in 2026 — when the managed Central experience wins, when raw Hub is the right call.
Read post: Azure IoT Hub vs IoT Central: When to Pick EachA 2026 buyer guide to IoT sensors — picks for temperature, humidity, vibration, air quality, current, motion. Accuracy classes and calibration drift.
Read post: Best IoT Sensors by Category: Temperature, Humidity, Vibration, Air QualityReady to ship
Tell us about the problem. We come back within one business day with a clear path, a timeline you can plan around, and a fixed-scope first milestone.