Capabilities

Solutions Built Around Business Value

Six areas of deep expertise, engineered to work together as one connected technology strategy — from the data foundation to the products and automations built on top of it. Each one below includes a real look at how we actually work, not just a description.

01 / 06

Data Engineering

We design and build the pipelines and cloud data platforms that everything else depends on — ingesting data from your CRMs, ERPs and product systems, modeling it for reliability, and orchestrating it so it lands on time, every time.

The Challenge

Data lives scattered across CRMs, ERPs, spreadsheets and product databases — each system telling a slightly different story, and nobody fully trusting any of them.

How We Solve It

We build the cloud data platform underneath everything else: automated ingestion, reliable modeling, and orchestration that lands trustworthy data on schedule, every time — whether your footprint is cloud, on-premise or hybrid.

What's Included
  • Ingestion pipelines from CRMs, ERPs, product systems and flat files
  • Dimensional & medallion data modeling (bronze / silver / gold)
  • Orchestration, monitoring and data quality frameworks
  • Legacy database migrations & real-time streaming ingestion
Example StackSnowflake, Databricks, dbt, Airflow
See It In Action

Source Systems

CRM · ERP · Apps · Files

Ingestion & Orchestration

Airflow · Fivetran · Kafka

Cloud Warehouse / Lake

Snowflake · Databricks

Consumption Layer

BI · AI · Apps

A simplified view of how data actually flows from your source systems into a governed, analytics-ready platform.

02 / 06

Analytics

Raw data only creates value once people can act on it. We build governed semantic layers and self-service dashboards that let business users explore metrics safely.

The Challenge

Every department has its own spreadsheet, its own KPI definitions and its own version of the truth — so leadership spends meetings debating whose numbers are right instead of deciding what to do next.

How We Solve It

We build governed semantic layers and self-service dashboards so everyone explores the same trusted metrics, refreshed automatically — turning static reporting into a living decision-making tool.

What's Included
  • Governed semantic layer & standardized KPI definitions
  • Executive dashboards that refresh themselves — no manual exports
  • Self-service exploration for business users, safely governed
  • Row-level security & role-based access to sensitive data
Example StackPower BI, Tableau, Looker
See It In Action
executive-dashboard
Revenue (YTD)$4.82M
Active Customers12,406
Avg. Order Value$389
Churn Rate2.1%
Monthly Revenue Trend
Revenue by Channel

A live look at the kind of executive dashboard we build — real KPIs, trends and comparisons in one governed view.

03 / 06

Artificial Intelligence

We take AI from proof-of-concept to production — building predictive models, recommendation engines, and retrieval-augmented generation (RAG) systems and AI agents on top of your own data.

The Challenge

Most AI pilots never make it past a flashy demo — they stall on messy data, unclear ROI, or a model nobody in the organization can explain or maintain once it's in production.

How We Solve It

We take AI from proof-of-concept to production: predictive models, recommendation engines, and RAG systems and agents built on your own data, with the MLOps discipline to monitor, retrain and keep earning ROI long after launch day.

What's Included
  • RAG systems & AI agents grounded in your own knowledge base
  • Model selection, fine-tuning & prompt/context engineering
  • Evaluation frameworks to measure accuracy before go-live
  • MLOps: monitoring, retraining & safe rollback in production
Example StackOpenAI, LLMs, MLOps, RAG
See It In Action
What was our return rate for the Northeast region last quarter, and what drove it?

The Northeast region's return rate was 4.8% in Q2, up from 3.1% in Q1 — mainly driven by a packaging issue on SKU-2291 that was resolved on June 14. Excluding that SKU, the rate would have been 2.9%.

Cited Sources
Q2_Returns_Report.pdf
warehouse_incident_log.csv
sku_catalog (live query)

A simplified look at a Retrieval-Augmented Generation (RAG) assistant answering a real business question, grounded in your own documents.

04 / 06

Automation & RPA

We start with process discovery — mapping the repetitive, rules-based work eating up your team's time — then build the right fix for each.

The Challenge

Approvals, reconciliations, data entry and back-office handoffs quietly eat thousands of hours a year — work that's repetitive enough to automate, but was never officially anyone's job to fix.

How We Solve It

We start with process discovery, then build the right fix for each workflow: RPA bots for structured, high-volume tasks, AI agents for judgment calls, and orchestration that ties it all together and runs continuously in the background.

What's Included
  • End-to-end process discovery & automation opportunity mapping
  • RPA bots for structured, rules-based, high-volume work
  • AI agents for unstructured data & judgment-based steps
  • Modernization & maintenance of brittle, existing automations
Example StackRPA, AI Agents, Workflow Orchestration
See It In Action

Manual Intake

Staff pulls documents, re-keys data across 3 systems

RPA Bot

Extracts, validates & enters data automatically

Validated & Routed

Only true exceptions ever reach a human

620 Hours Saved Per Month, This Workflow Alone

A simplified look at a claims-intake workflow before and after automation — and the hours it gives back every month.

05 / 06

Software & Platform Development

From customer-facing products to full multi-platform launches, we design and ship modern, scalable applications and complete digital products — with clean architecture, automated testing, CI/CD, and development across web, mobile and connected-TV platforms.

The Challenge

Software built fast without discipline turns into a maintenance burden within a year, and shipping consistently across web, mobile and beyond often leaves teams juggling three disconnected codebases — and three different bugs for the same feature.

How We Solve It

We design and ship modern, scalable applications with clean architecture, automated testing and CI/CD from day one — and when the goal is a full product, we run the entire lifecycle: system and data architecture, a real UX/UI design phase, and development across web, Android, iOS and connected-TV platforms like Apple TV, from a single, well-architected codebase where possible.

What's Included
  • Well-structured APIs, services & thoughtful data models, with automated testing (unit, integration, E2E) from day one
  • CI/CD pipelines with automated build, test & deploy
  • Real UX/UI design phase before a line of code is written, then development across web, Android, iOS & Apple TV
  • Documentation, QA and ongoing evolution your team can actually maintain after launch
Example StackReact, Next.js, Node.js, iOS, Android, Apple TV
See It In Action
checkout-service.ts
export async function createOrder(input: OrderInput) {
  const order = await db.orders.create({
    data: { ...input, status: 'pending' }
  });
  await queue.publish('order.created', order);
  return order;
}
Commit
Automated TestsPassed
Build
Deploy

A simplified look at the CI/CD pipeline that runs behind every commit we ship.

Web
Mobile
Apple TV

The same product, running natively across web, mobile and connected TV from one well-architected codebase.

06 / 06

Cloud

We design, migrate and operate cloud architecture across AWS, Azure and GCP — built for security, scalability and predictable cost from day one, not as an afterthought once the bill arrives.

The Challenge

Moving to the cloud is easy to start and hard to get right — many organizations end up with unpredictable costs, security gaps and infrastructure nobody fully understands, long before they see the agility the cloud was supposed to bring.

How We Solve It

We design and migrate cloud architecture built for security, scalability and cost control from day one — with infrastructure as code, properly segmented landing zones, and FinOps practices that keep spend predictable as you grow.

What's Included
  • Cloud architecture & landing zone design across AWS, Azure and GCP
  • Legacy infrastructure migration with minimal downtime and risk
  • Infrastructure as Code (Terraform, CloudFormation) for repeatable, auditable environments
  • Cost optimization (FinOps) and security hardening for predictable, long-term spend
Example StackAWS, Azure, GCP, Terraform, Kubernetes
See It In Action

Legacy / On-Premise

Servers, VMs, Data Centers

Migration & Landing Zone

IaC · Networking · Security

Cloud Architecture

AWS · Azure · GCP

Secure, Cost-Optimized Ops

Monitoring · FinOps · Scaling

A simplified view of how legacy infrastructure becomes a secure, cost-optimized cloud architecture.

These are just a few of the technologies we work with — explore our full technology ecosystem

Technology Ecosystem

Modern Tools. Proven Foundations.

We work with the platforms enterprise teams already trust. Search for a specific tool below, or browse by category to explore the full ecosystem.

daevo@nearshore:~/tech-stack$

Let's Build What's Next.

Tell us about your goals in a short conversation. No pressure, no generic pitch — just a real discussion about how we can help.