Transform Data Into Decisions
We help ambitious B2B teams move from spreadsheets and dashboards no one trusts to reliable data pipelines, sharp business intelligence, hands-off automation and a cloud data platform — built on Snowflake, AWS, dbt and Tableau — that compounds.
Every engagement moves your data through the same three stages — watch how raw, disconnected sources become a dashboard your team actually trusts.
Clean, join, validate and model — every record earns its place in the warehouse.
We don't sell tools — we deliver outcomes. Each engagement starts with a 2-week audit and ends with measurable lift on a metric you care about.
Turn raw signals into the three numbers your leadership actually reviews. Cohort retention, attribution, anomaly detection — delivered as living dashboards, not slide decks.
ETL/ELT pipelines that don't silently fail at 3am. We build with dbt, Airflow and event streams so every metric has a paper trail from source to dashboard.
Beyond charts. We build the semantic layer, governance and review cadence that makes BI a habit instead of a quarterly fire drill.
From a Redshift cluster you can actually afford to multi-account Terraform with sane defaults. We make AWS feel like a tool, not a maze.
The report someone rebuilds every Monday, the CSV that gets emailed around, the numbers re-keyed between systems — we replace them with workflow and business process automation that runs on schedule, alerts on failure and never calls in sick.
From predictive models to autonomous agents that execute multi-step workflows — we design, fine-tune and ship AI systems that plug into your existing data stack instead of bolting on a chatbot.
Every engagement follows the same four phases. No vague proposals, no surprise invoices — every milestone has a deliverable you can demo to your team.
A 2-week immersion. We sit with your team, audit current pipelines, identify the metric that matters, and write a one-page brief everyone signs off on.
We design the smallest viable system that can grow. Pipelines, schemas, dashboards and access — all reviewed before a line of production code is written.
Weekly demos. Code reviewed in your repo, tests gated in your CI, dashboards landed in your BI tool. You see progress every Friday — never quarterly.
We don't want to live in your stack forever. Documentation, runbooks and a 90-day coaching tail mean your team owns it when we step back.
At InsightStack Solutions, we're passionate about transforming data into decisions you can act on. With deep expertise in data analysis, data engineering, business intelligence, AWS cloud, workflow automation and AI/agentic AI, we empower organisations to make informed choices that compound into growth and innovation.
Founded by a team of seasoned data professionals, our mission is to simplify complex data challenges. We leverage cutting-edge tools and methodologies to deliver tailored solutions for your unique business needs — and we collaborate closely so every strategy aligns with your goals and vision.
Our practice is led by Anil Kondla, who has spent nearly a decade designing, building and shipping data platforms inside Amazon, Experian, Elevance Health, OpenText and Kellogg. That enterprise-grade engineering is what we now bring to teams of every size.
Patterns we've delivered for Fortune-500 and high-growth teams alike — across payments, healthcare, retail, marketplaces and applied AI.
Pipelines that flag duplicate invoices, expense fraud and anomalous claims before money moves — balancing friction so good actors stay unblocked.
Stitch every touchpoint into one view, then surface the insights that lift satisfaction and optimise service delivery across the journey.
Self-service portals for Medicaid/Medicare risk-adjustment and claims integrity — slicing by region, contract or provider with audit-ready accuracy.
dbt models and interactive dashboards that turn project activity, user engagement and platform performance into growth decisions.
Forecast demand from historical sales, optimise inventory and production schedules, and preserve history with proper slowly-changing dimensions.
Collapse 24-hour ETL windows into minutes with in-memory engines and Kafka streams — putting live data in front of hundreds of concurrent users.
NLP models parse unstructured reports and statements while a lightweight LLM drives the decision workflow — cutting manual underwriting effort while holding accuracy and latency targets.
Generative models synthesise realistic clinical signal data for training and testing, with real-time dashboards that cut review latency for the clinicians reading the output.
Hybrid vision-transformer and graph-based models flag manipulated media at scale, with preprocessing pipelines tuned to stay accurate on low-quality, real-world inputs.
From Fortune 500 enterprises to high-growth startups — every engagement is scoped to deliver measurable impact, not just deliverables. Here's what that looks like in practice.
Logistics ETL: 24 hrs → 43 minutes
In-memory compute and Kafka ingestion rebuilt a slow overnight pipeline into a near-real-time feed — no more waiting until morning for yesterday's numbers.
Billing accuracy & payment visibility
P&L reconciliation reporting gave finance teams clarity they never had — 35% better billing tracking, 20% faster reports, and self-service access that cut analyst bottlenecks entirely.
User engagement on risk-adjustment portal
Pathfinder went from a tool people avoided to one they relied on daily — 30% more engagement, 20% faster submissions, and 25% better reporting accuracy from day one.
Payee-fraud detection at scale
Automated fraud detection pipelines with real-time case creation, audit trails, and forecasting models — protecting revenue without creating friction for legitimate payees.
Fully automated cloud data infrastructure
Customer-experience analytics on AWS — Glue ETL into Redshift and RDS, with every resource provisioned via Terraform and CloudFormation so the team ships changes, not tickets.
AI-powered legal complaint intelligence
Serverless, multi-tenant investigations platform with AI-driven NLP models that extract key facts from legal complaints in seconds — turning weeks of manual review into instant, structured insight.
“They walked in, rebuilt the worst part of our stack, taught two of our engineers how it worked, and walked out 90 days later. That's the engagement everyone promises and no one delivers.”
Book a free 30-minute consultation. Worst case, you leave with a one-page diagnostic you can hand to anyone.
Straight answers on scope, pricing and how we work. Anything else — ask us directly.
We reply within one business day, from a real engineer (no bots, no first-touch sales).