Dotkonex Software

Services

Distributed team integration, custom software and API architectures.

Our services are designed to be combined. Most engagements start with a single pod focused on a measurable outcome and expand into multi-stream programs once the working relationship is proven.

01
Service

Distributed Team Integration

Senior engineering pods that plug into your delivery cadence within weeks.

We assemble multi-disciplinary pods — staff engineers, platform specialists, delivery leads — that operate inside your rituals. Pods are sized for outcomes, not headcount, and remain stable across quarters so context compounds instead of evaporating. You get predictable velocity from people who genuinely understand the system they are building.

  • Embedded senior pods
  • Timezone-aligned rituals
  • Shared on-call and incident response
  • Knowledge transfer baked into every sprint
02
Service

Custom Software Engineering

Bespoke platforms for problems that off-the-shelf tools cannot answer.

From greenfield product builds to platform consolidation, we design and ship custom systems where the business logic is the moat. We operate as a single team across product, design and engineering, shipping behind feature flags and measuring outcomes in production from week one.

  • Greenfield platforms
  • Modernization of legacy estates
  • Internal developer platforms
  • Domain-driven service decomposition
03
Service

API & Integration Architectures

Contract-first APIs that connect your estate without coupling it together.

We design and build event-driven and synchronous APIs that act as the connective tissue of modern enterprises. Contracts are versioned, tested and documented; integrations come with retries, idempotency, observability and clear ownership. The result is a backbone your product teams can actually build on.

  • REST, GraphQL and gRPC services
  • Event streaming on Kafka and equivalents
  • Federation, gateway and BFF patterns
  • Partner and B2B integration platforms
04
Service

Platform & Cloud Reliability

Kubernetes, IaC and SRE practices that keep regulated workloads predictable.

We help platform organizations operate large fleets confidently. That means strong IaC foundations, golden paths for product teams, observability that answers questions instead of generating noise, and incident practices that turn outages into permanent learnings.

  • Kubernetes platforms and golden paths
  • Terraform and policy-as-code
  • Observability and SLO frameworks
  • Incident response and post-incident review
05
Service

Data & Streaming Backbones

Operational data planes that power product, analytics and ML in one motion.

We design the data platforms that sit underneath modern enterprise products: streaming pipelines, operational stores, warehouse-native models and the contracts that keep them all in sync. We treat data as a first-class product, not as exhaust.

  • Event-driven pipelines
  • CDC and change feeds
  • Warehouse and lakehouse modelling
  • Data contracts and quality SLAs
06
Service

AI-Augmented Workflows

Pragmatic ML and LLM integrations wrapped in evaluation and audit.

We add AI where it produces measurable leverage — copilot surfaces inside operations tools, decision support inside back-office workflows, document understanding for high-volume processes. Every integration ships with evaluation pipelines, prompt versioning and the audit trails regulated industries require.

  • LLM-powered internal copilots
  • Document and form understanding
  • Retrieval-augmented generation
  • Evaluation, observability and audit

How an engagement unfolds

Phase 1

Discover

A focused two-week look at architecture, delivery and constraints.

Phase 2

Shape

Outcomes, pod composition and a measurable plan for the first quarter.

Phase 3

Build

Ship behind flags, instrument from day one, review in your rituals.

Phase 4

Hand over

Runbooks, ADRs and onboarding so your team confidently owns the system.

Need engineers who can ship from week one?

Onboard a Dotkonex pod →