Services

What we build

Custom software across the full stack — from AI models and data pipelines to client-facing applications and system integrations. Every engagement is scoped precisely to your requirements.

Custom AI & Machine Learning

Production AI systems trained on your data — not generic models bolted onto generic workflows. Every model is purpose-designed, evaluated, and deployed with a monitoring strategy.

[Raw Data] → [Feature Eng.] → [scikit-learn / TF Model] → [FastAPI Endpoint]
↕ [MLflow Registry + Experiment Tracking]

Deliverables

  • Trained classification or regression model, production-ready
  • RAG pipeline with Azure OpenAI or Anthropic Claude
  • Scheduled retraining with MLflow experiment tracking
  • NLP pipelines (entity extraction, sentiment, semantic search)
  • Document intelligence using Azure Document Intelligence / OCR
  • Voice note transcription and structured data extraction

Technical approach

  • Model selection based on data volume, latency, and explainability requirements
  • Evaluation framework with precision/recall/F1 benchmarking before production
  • Containerised inference service (Docker + FastAPI) with versioned endpoints
  • Monitoring via MLflow or Azure ML for drift detection and retraining triggers
  • All training data stays in your infrastructure — no third-party training on your data
Stack:
PythonTensorFlowPyTorch scikit-learnMLflowFastAPI Azure OpenAIAnthropicLangChain spaCyHuggingFace
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Data Engineering & Pipelines

Reliable, observable, and maintainable data infrastructure. Whether you need a single ETL pipeline or a full data platform, every build is production-grade with monitoring, alerting, and documentation.

[Source APIs / DBs] → [Ingestion / Kafka] → [dbt Transforms] → [PostgreSQL DW]
↕ [Azure Data Lake (cold storage)] ↕ [Alerting + Lineage Docs]

Deliverables

  • ETL/ELT pipeline design, implementation, and documentation
  • Real-time event streaming with Apache Kafka
  • Data warehouse schema design with dbt models
  • Data quality checks and anomaly detection rules
  • Cold/warm storage tiering with Azure Data Lake or S3
  • Data lineage documentation and schema registry

Technical approach

  • SQLAlchemy/Alembic for schema migrations — reproducible across environments
  • dbt for transformation layer: tests, documentation, and lineage built in
  • Kafka for high-throughput event streaming; batched ETL for lower-volume sources
  • Idempotent pipeline design — safe to re-run without duplicating data
  • GitHub Actions for CI/CD of data pipelines
Stack:
PythonPostgreSQLKafka dbtSQLAlchemyAlembic Azure Data LakeAWS S3GitHub Actions
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Business Intelligence

Custom reporting and visibility tools built on your actual data — not generic templates. From operational dashboards to executive KPI views, built to your workflow and access requirements.

[PostgreSQL / DW] → [dbt Models] → [Plotly / D3.js / PowerBI] → [Dashboard]
↕ [Anomaly Alerts + Scheduled Reports]

Deliverables

  • Operational and executive dashboards, real-time or near-real-time
  • Automated scheduled reporting (daily, weekly, monthly)
  • Anomaly detection with configurable thresholds and email/Slack alerts
  • Multi-client reporting with per-client access controls
  • Drill-down analytics with period-over-period comparison
  • Embeddable chart components for existing applications

Technical approach

  • Dashboard served via FastAPI + React/Angular for full customisation
  • Alternatively PowerBI or Plotly Dash for rapid deployment
  • D3.js for bespoke visualisations not available in off-the-shelf libraries
  • Role-based data access: user sees only their permitted data slice
  • Anomaly detection via statistical thresholds or ML-based outlier detection
Stack:
AngularReactD3.js PlotlyDashdbt PowerBIFastAPI
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Application Development

Full-stack web applications and internal tools built precisely for your workflow. Not a template. Not a CMS. Purpose-engineered software for the specific process you need to run.

[React / Angular SPA] → [FastAPI Backend] → [PostgreSQL]
↕ [JWT Auth + RBAC Middleware] ↕ [Docker + GitHub Actions CI/CD]

Deliverables

  • Full-stack web applications with custom UI
  • Client-facing portals and self-service intake systems
  • Staff-facing operations dashboards and workflow tools
  • Mobile-responsive, cross-browser compatible interfaces
  • Dockerised deployment with CI/CD pipeline
  • Full documentation and handover package

Technical approach

  • React or Angular for frontend — chosen based on team familiarity and scale requirements
  • FastAPI for backend — typed, async, and OpenAPI-documented automatically
  • JWT authentication with RBAC enforced at both API and database layer
  • Alembic migrations — every schema change is versioned and reversible
  • End-to-end tests covering critical user journeys before deployment
Stack:
AngularReactTypeScript FastAPIPostgreSQLSQLAlchemy DockerGitHub Actions
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System Integrations & APIs

Custom middleware and API layers that connect your CRMs, ERPs, SaaS tools, government systems, and legacy databases. Real-time bidirectional sync, webhook handling, and event-driven data exchange.

[Salesforce / HubSpot] ⇄ [FastAPI Middleware] ⇄ [Pipedrive / Xero]
↕ [Webhook Event Bus] ↕ [Annature / Twilio / WhatsApp]

Deliverables

  • REST and GraphQL API development and documentation
  • Bidirectional CRM sync (Salesforce, HubSpot, Pipedrive)
  • Webhook ingestion, validation, and event routing
  • Legacy database connectivity via ODBC/JDBC adapters
  • Government API integrations (ATO, ASIC, state portals)
  • E-signature and document workflow integrations (Annature)

Technical approach

  • Integration layer built as an independently deployable service — not embedded in application code
  • Idempotent webhook handlers with retry queues and dead-letter logging
  • OAuth2 / API key management via Azure Key Vault — no credentials in code
  • Comprehensive request/response logging for debugging and audit
  • Rate limit handling and backoff strategies for third-party APIs
Stack:
FastAPIRESTGraphQL WebhooksSalesforce APIPipedrive Graph APICeleryAzure Key Vault
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Automation & Orchestration

Intelligent process automation that eliminates manual steps without replacing your team. Document handling, approval flows, notifications, and event-driven triggers — all observable, auditable, and recoverable.

[Trigger Event] → [Celery Task Queue] → [Orchestration Pipeline]
↕ [Azure Functions (serverless steps)] ↕ [CRM / Notify / Audit]

Deliverables

  • Automated document collection and chasing workflows
  • Multi-step approval flows with escalation paths
  • Event-driven notification systems (email, WhatsApp, SMS)
  • Scheduled batch processing and reporting jobs
  • Dead-letter queues and automated retry handling
  • Full audit trail on all automated actions

Technical approach

  • Celery for distributed task orchestration with Redis or RabbitMQ broker
  • Azure Functions for lightweight serverless steps that don't need a persistent worker
  • Every automated action is logged — who triggered it, what ran, what the result was
  • Idempotency keys prevent duplicate execution on retry
  • Observability via Flower (Celery) or Azure Monitor dashboards
Stack:
PythonCeleryFastAPI Azure FunctionsKafkaRedis TwilioWhatsApp Business API
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Security Architecture

Security designed into the system from the first architecture decision — not layered on afterwards. Field-level encryption, RBAC, tamper-proof audit logging, and compliance-ready infrastructure for regulated environments.

[API Request] → [JWT Verification] → [RBAC Middleware] → [AES-256 Store]
↕ [Azure Key Vault (key management)] ↕ [Audit Log (SHA-256 hash chain)]

Deliverables

  • Field-level encryption with Azure Key Vault-managed keys
  • RBAC middleware with principle of least privilege enforcement
  • Tamper-proof audit log with SHA-256 hash chaining
  • JWT authentication (15 min access / 7 day refresh rotation)
  • Secrets management with automated rotation policies
  • Security documentation for procurement questionnaires

Technical approach

  • TLS 1.3 enforced in transit; AES-256 at rest via Azure SSE
  • Per-service managed identities — no shared credentials anywhere
  • All secrets in Azure Key Vault with automated rotation — never in code or env files
  • Audit log is append-only: each row hashes the previous row's hash
  • OWASP Top 10 addressed in every code review before merge
Stack:
Azure Key VaultJWTRBAC PythonPostgreSQLTLS 1.3 Azure ADGitHub Dependabot
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Government & Regulated Industry

Systems built to meet the compliance, documentation, and accountability requirements of government procurement, regulated financial services, and high-assurance data environments. Real experience delivering for both government clients and regulated businesses.

[Govt Portals / APIs] → [NLP + Scoring Pipeline] → [Compliance Engine] → [Workflow Dashboard]
↕ [Audit Trail + RBAC + Encrypted Store]

Deliverables

  • Compliance workflow and structured checklist systems
  • Audit trail management with tamper-evident logging
  • Government API integrations (AusTender, state procurement portals)
  • NLP tender matching and bid lifecycle management
  • Secure submission and document version control
  • Vendor security questionnaire documentation

Technical approach

  • Australian data residency by default (Azure australiaeast / australiasoutheast)
  • Privacy Act 1988 (APPs) compliance designed in from day one
  • Full data lineage and access logging for audit readiness
  • spaCy / NLTK NLP pipelines for tender document analysis and scoring
  • Available to complete vendor security questionnaires and ISO 27001 / SOC 2 documentation
Stack:
PythonspaCyNLTK PostgreSQLFastAPIAzure ReactDocker
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Have a specific requirement in mind?

Every engagement is scoped to your exact problem. Start with a conversation — no commitment required.

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