IoT • Software Engineering • AI Enablement

Build secure, scalable products with awreta.

Awreta is a software development services company helping teams design and deliver modern digital systems: connected IoT platforms, cloud-native applications, data pipelines, and AI-enabled automation. We focus on reliability, security, and engineering execution that stands up to real-world scale.

Delivery-first Engineering execution with clear scope, milestones, and measurable outcomes.
Security by design Threat modeling, secure SDLC, and audit-friendly implementation practices.
Scalable architecture Cloud-native patterns, performance tuning, and observability from day one.
AI with governance Practical AI integration with privacy, controls, and operational guardrails.
Typical engagements: product build-outs, modernization, platform stabilization, IoT enablement, AI automation, and long-term engineering partnerships.

What Awreta builds

End-to-end digital systems—from device connectivity and telemetry to web/mobile apps, APIs, analytics, and intelligent automation.

IoT Platforms Web & Mobile Apps APIs & Integrations Data Pipelines AI Enablement DevOps & SRE

Engagement models

Choose what fits your operating model and timeline. We can start small (discovery) or go directly into delivery.

Fixed Scope Dedicated Squad Retainer Rapid Discovery (2–3 weeks)

Engineering principles

Clean architecture, deterministic builds, repeatable deployments, observability, performance, and documentation that survives handovers.

API-first CI/CD Observability Test Automation Cost Control Audit Readiness

Services

Full-cycle engineering services—from discovery and architecture to build, launch, and stabilization. Designed for velocity without compromising security and quality.

Product Engineering

Web, mobile, backend, and platform engineering with a delivery-first mindset.

  • Cloud-native microservices and modular monoliths
  • API design, performance optimization, and caching strategies
  • Frontend engineering (responsive UI, accessibility, UX)
  • Integration with payment, identity, CRM/ERP, and 3rd parties

IoT & Connected Systems

From device connectivity to telemetry analytics and operational tooling.

  • Device onboarding, identity, provisioning, and fleet management
  • Telemetry ingestion, normalization, and time-series storage
  • OTA firmware update workflows and rollout controls
  • Real-time alerts, dashboards, and incident playbooks

Applied AI Enablement

Practical AI integrated into products and workflows with governance.

  • AI assistants for support, ops, sales, and internal knowledge
  • Document intelligence (extraction, classification, validations)
  • Search / recommendations / anomaly detection pipelines
  • Privacy controls, evaluation harnesses, and human-in-the-loop

Cloud, DevOps & SRE

Reliability engineering, CI/CD, observability, and cost optimization.

  • CI/CD pipelines, environment promotions, and rollback strategies
  • Logging, metrics, tracing, and actionable alerts
  • Capacity planning, chaos testing, and performance engineering
  • Cloud cost controls, tagging, and budget guardrails

Security & Compliance Engineering

Security-by-design with audit-friendly evidence and hardening.

  • Threat modeling, secure coding, and secrets management
  • OAuth/JWT flows, RBAC/ABAC, and access governance
  • Data protection: encryption, retention, masking, and DLP patterns
  • Secure SDLC: reviews, scanning, and remediation workflows

Modernization & Stabilization

Legacy upgrades, refactoring, and platform hardening with minimal risk.

  • Monolith to services (or modularization) roadmap and execution
  • Database migrations and query optimization
  • Observability-first stabilization and incident reduction
  • Documentation, runbooks, and on-call readiness improvements

Solution areas

Common problem spaces where we deliver repeatable outcomes. If your use case is adjacent, we can tailor an architecture and delivery plan.

IoT data platform blueprint

A reference architecture for device-to-cloud systems that scales across fleets, regions, and workloads.

  • Device identity, secure connectivity, and telemetry standards
  • Stream ingestion, processing, storage, and retention policies
  • Rules engine, alerting, dashboards, and operational tooling
  • OTA rollouts, staged deployments, and observability

Enterprise platform engineering

APIs, workflows, and frontends built for compliance, integrations, and operational reliability.

  • Identity, RBAC/ABAC, audit logs, and approvals (maker-checker)
  • Workflow engines, orchestration, and asynchronous processing
  • Billing, invoicing, reporting, and reconciliation patterns
  • Multi-tenant and multi-region deployment strategies

AI automation for operations

AI used where it produces measurable efficiency, not just demos.

  • Ticket triage, response drafting, and SOP-driven resolution
  • Knowledge search with permissions and traceable citations
  • Process mining signals and anomaly detection for ops risk
  • Evaluation harnesses and guardrails for safe rollouts

Data, analytics & reporting

Decision-grade data models and reporting for business and compliance.

  • Event schema design, data contracts, and lineage
  • Batch and streaming pipelines with quality checks
  • Audit-ready reporting and exportable evidence packs
  • Role-based dashboards and KPI frameworks

How we work

A structured delivery approach that balances speed, quality, and governance—especially important for platforms that must be stable and auditable.

01

Discovery & alignment

Clarify outcomes, constraints, risks, and scope. Produce an architecture outline, backlog, milestones, and acceptance criteria.

02

Architecture & foundations

Set up CI/CD, environments, observability baseline, security controls, and reference patterns so delivery remains consistent.

03

Build & iterate

Ship in sprints with demos, metrics, and continuous QA. Prioritize reliability, performance, and test automation.

04

Launch & stabilize

Production rollout with runbooks, monitoring, incident playbooks, and post-launch hardening to reduce operational risk.

What you receive

  • Architecture docs and ADRs
  • Milestones, sprint plan, and status reporting
  • Automated tests and quality gates
  • Runbooks, dashboards, and alert playbooks

Quality & governance

  • Code reviews + static analysis
  • Threat modeling and security checks
  • Audit logs and traceability
  • Release controls and rollback plans

Typical timelines

  • Discovery: 2–3 weeks
  • MVP: 6–10 weeks (scope dependent)
  • Stabilization: 2–4 weeks
  • Long-term squad: monthly

Technology stack

We use proven stacks. The exact choices depend on your environment, compliance needs, and operational model.

Backend & APIs

Java / Spring Boot Node.js REST / GraphQL JWT / OAuth2 gRPC (optional)

Clean architecture, strong boundaries, observability-first services, and security patterns aligned to real production needs.

Cloud & DevOps

AWS / Azure Docker CI/CD Terraform Monitoring & Alerts

Repeatable environments, controlled releases, robust monitoring, and cost guardrails.

Data & AI

PostgreSQL / MySQL Kafka / Streams Time-series Vector Search AI Guardrails

Data contracts, quality checks, governance, and evaluation harnesses for AI integrations.

Case studies

Illustrative examples of what we deliver (anonymized). We can share deeper details under NDA.

IoT Telemetry OTA

IoT fleet platform modernization

Built a secure device onboarding flow, telemetry ingestion pipeline, and operations dashboard with alerting and staged OTA rollouts.

+ ReliabilityObservability + incident playbooks reduced recurring outages.
+ ScaleOptimized ingestion and storage for higher event volumes.
+ ControlStaged OTA updates with rollback and guardrails.
Software APIs Security

Enterprise workflow platform

Delivered an API-first platform with role-based access, audit logs, approval workflows, and reconciliation-ready reporting.

+ GovernanceAudit trails and maker-checker flows for controlled operations.
+ SpeedCI/CD + modular architecture accelerated feature delivery.
+ StabilityPerformance tuning + testing improved release confidence.
AI Automation Knowledge

AI operations assistant

Implemented an AI assistant for SOP-driven resolution, secure knowledge search with permissions, and evaluation metrics for safe rollout.

+ EfficiencyReduced time-to-first-response and improved triage quality.
+ TrustGuardrails + citations improved explainability.
+ ControlEvaluation harnesses enabled measurable improvements.

Client feedback

Outcomes-focused engineering and reliable delivery is what clients typically value most.

“Awreta delivered a stable platform with clear engineering governance. The rollout was controlled, and the post-launch stabilization was excellent.”

Head of Engineering (Enterprise) ★★★★★

“Strong architecture and execution. The system is faster, observable, and easier to operate. Our delivery cadence improved immediately.”

Product Owner (SaaS) ★★★★★

“They built an IoT telemetry pipeline that scaled cleanly. The dashboards and alerting reduced operational noise and improved uptime.”

Ops Lead (IoT) ★★★★★

FAQ

Common questions about engagement, delivery, and the way we operate.

How do you estimate projects?

We typically start with discovery: clarify scope, constraints, and risks; then produce a milestone plan with effort bands, dependencies, and acceptance criteria. For ongoing work, we use sprint-level estimation with a prioritized backlog.

Do you provide long-term squads?

Yes. We can provide a dedicated team (engineering + QA + DevOps as needed) with weekly reporting, sprint demos, and roadmap alignment. This works well for modernization, platform expansion, and continuous delivery.

What about security and compliance?

We implement security-by-design: threat modeling, secure coding practices, secrets management, RBAC/ABAC, and audit logs. We also support evidence generation through documentation, change logs, and controlled releases.

Can you work with our existing team?

Yes. We frequently operate as an augmentation partner: architecture reviews, platform stabilization, DevOps improvements, and delivery acceleration—while aligning with your SDLC and governance processes.

Contact Awreta

Share a brief about your goals and constraints. We can respond with a high-level architecture approach, engagement model, and an indicative estimate.

This demo form can be wired to your backend / email service.

What happens next

  • We review your brief and clarify key constraints and outcomes.
  • We propose an engagement model (fixed scope or squad).
  • We share a milestone plan with deliverables and acceptance criteria.
  • We align on start date, governance cadence, and reporting.

Contact details

Email: hello@awreta.com
Availability: Mon–Sat (by appointment)
Typical response: within 1–2 business days

A quick note on NDAs

If you need to share sensitive architecture or data constraints, we are comfortable working under NDA before exchanging deeper system details.