Services
What Datahelyx builds
Three practices that cover the full lifecycle: the software that runs your business, the data that describes it, and the automation that accelerates it.
A. Software Engineering
Product-grade applications built end to end — from architecture and APIs to polished, responsive frontends.
Full-Stack App Development
Complete web applications — auth, dashboards, billing, admin panels — designed, built, and shipped as one coherent product.
- ✓ Architecture & database design
- ✓ REST/GraphQL API development
- ✓ Responsive frontend with modern UX
- ✓ CI/CD, testing, and deployment
Web Development
High-performance marketing sites, portals, and e-commerce experiences that load fast, rank well, and convert.
- ✓ SEO-first builds (Core Web Vitals, schema markup)
- ✓ CMS integration
- ✓ Analytics & conversion tracking
- ✓ Accessibility & mobile-first design
Blockchain Development
Smart contracts and decentralized application layers where they genuinely add value — audited, tested, and integrated with your existing systems.
- ✓ Smart contract development & testing
- ✓ Wallet and on-chain data integration
- ✓ dApp frontends
- ✓ Security review workflow
B. Data & AI
From raw, scattered data to reliable pipelines, governed warehouses, live dashboards, and production ML.
Data Engineering
ETL/ELT pipelines, real-time streaming, and warehouse or lakehouse foundations that make every downstream team faster.
- ✓ Batch ETL/ELT pipeline design & build
- ✓ Real-time streaming with Kafka
- ✓ Orchestration with Airflow
- ✓ Data warehouse / lakehouse setup
Data Management
The unglamorous work that makes data trustworthy: modeling, tuning, governance, and clean migrations off legacy systems.
- ✓ ER / database design
- ✓ DB administration & performance tuning
- ✓ Data governance & quality frameworks
- ✓ Legacy-to-cloud migration & master data management
Data Analytics
Dashboards and analytics your team actually opens — operational reporting, predictive models, and custom KPI tooling.
- ✓ BI dashboards & automated reporting
- ✓ Operational analytics
- ✓ Predictive analytics
- ✓ Custom KPI tooling
AI / ML
Custom models and LLM systems taken all the way to production — deployed, monitored, and maintained, not left in a notebook.
- ✓ Custom ML model development
- ✓ LLM integration & fine-tuning
- ✓ MLOps: deployment & monitoring
- ✓ Computer vision / NLP where needed
What this looks like in practice
A real client data platform, source to dashboard
Legacy databases, spreadsheets, APIs and live events, reconciled and quality-gated into one warehouse, then served back out to dashboards, a churn model, and internal apps.
C. Automation & Agentic Systems
Autonomous AI co-pilots that run multi-step workflows for your team — beyond standard chatbots.
Business Process Automations
Repetitive back-office workflows — reporting, reconciliation, document handling — automated end to end with human checkpoints where they matter.
- ✓ Process mapping & automation design
- ✓ System integrations (email, sheets, CRMs, ERPs)
- ✓ Scheduled & event-driven workflows
- ✓ Monitoring and failure alerts
Agentic AI Co-pilots
Autonomous multi-step workflow agents that research, decide, and act inside your tools — not chatbots that just answer questions.
- ✓ Agent workflow design & guardrails
- ✓ Tool/function integrations
- ✓ Human-in-the-loop approval steps
- ✓ Evaluation & observability
RAG Engines
Secure enterprise search that connects your internal documents and data to LLMs — with permissions, citations, and zero training-data leakage.
- ✓ Document ingestion & chunking pipelines
- ✓ Vector search & hybrid retrieval
- ✓ Access-control-aware answers with citations
- ✓ Private/VPC deployment options
Low-Code / No-Code AI Builders
AI-powered internal tools your non-technical teams can operate and extend themselves — we build the foundation, you keep the keys.
- ✓ Internal tool design & build
- ✓ AI features wired into existing workflows
- ✓ Team training & handover
- ✓ Ongoing support options
What we're exploring
On our radar
Forward-looking areas we're actively researching and prototyping — listed as trend-awareness, not as delivered services (yet).
Platform Engineering
Internal developer platforms that standardize how teams ship.
FinOps
Cloud cost observability and optimization practices.
Data Mesh
Decentralized, domain-owned data architectures.
CNAPP
Cloud-native application protection platforms.
Digital Immune Systems
Combining observability, testing, and auto-remediation for resilient software.
ITDR
Identity threat detection & response.
Not sure which practice fits?
Get a free automation audit first
No commitment, no spec required — describe what's slow or manual and we'll map it to the right practice above, or tell you honestly if you don't need us at all.