Data Solutions Portfolio
We transition organizations from siloed data to integrated intelligence foundations.
ETL/ELT Pipelines
Automated, fault-tolerant pipelines that move data from hundreds of sources to your centralized storage with zero loss.
Strategic Deliverables
- ✔ Source Integrity Audits
- ✔ High-Throughput Processing
- ✔ Automated Schema Mapping
- ✔ Error Handling & Observability
Tech Stack
Design that
Wins
Markets
In the digital economy, user experience is the product. We help you move beyond "standard" interfaces to create moments of delight that convert casual visitors into loyal advocates.
Measurable impact
Higher Engagement
Time-on-page and feature discovery rise with intuitive flows.
- Clear CTAs & feedback
- Reduced cognitive load
Lower Churn
Familiar patterns and clear IA keep users on track.
- Consistent navigation
- Predictable outcomes
Enterprise scale
Design systems that scale from startup to 10k+ users.
- Tokens & components
- Cross-product reuse
Our Product Design Process
From Discovery to Launch
A connected, sprint-friendly UX workflow that stays lightweight—but produces enterprise-grade outcomes.
Real Projects for Real Clients
Fixed-scope pilots and production systems we've shipped for Krish Ventures, Aru Pharma, and NriHearts.com.
Finance OS — an Agentic Finance Department
An agentic system for Krish Ventures that automates end-to-end finance department operations — accounts payable and receivable, reconciliation, and reporting — with human-in-the-loop approvals.
Fully Local, On-Prem RAG System
A retrieval-augmented generation system for Aru Pharma that runs entirely on local machines — zero OpenAI or Anthropic API calls, and data never leaves the client's infrastructure.
HR Payroll System, Live in 1 Week
A payroll management system scoped, built, and shipped to production in one week — a fixed-scope AI MVP that went from idea to live product in days, not months.
How we work & why it matters
We combine process, technology, and expertise so your product gets built right—from idea to launch.
We use proven stacks and clear delivery so you get results you can measure.
Technologies we use
We build with the stacks and tools your product needs.
PostgreSQL / SQLSpark / FlinkCommon questions
Hiring senior data engineers takes months and $150k+/year each; most companies need working pipelines, not a permanent team. A fixed-scope build gets you a production data platform with documentation and handover — then your existing team operates it. Outsource the build, own the result.
We use ELT for modern cloud warehouses (Snowflake, BigQuery) to leverage distributed compute; ETL for near-real-time streaming. Choice depends on latency and cost goals.
Yes. We build bridge pipelines from on-prem to cloud and use Strangler Pattern or phased extraction so migrations happen without business disruption.
Fixed-scope data engineering at Essen Software runs $5k–$25k for most pipeline and warehouse builds: a focused pipeline in 2–3 weeks at the lower end, a full ingestion-warehouse-dashboard platform toward the upper end. Data quality and source complexity are the main cost drivers; scope and price are agreed up front.
Yes — this is increasingly why clients come to us. We build the ingestion, cleaning, and indexing layers that RAG systems and AI agents depend on: document pipelines, embeddings, vector stores, and structured data models. It pairs directly with our RAG development and AI agent work.