One team. End to end.

Ship AI that scales
clear scope, on-time delivery

We build RAG, ML, and LLM solutions that scale. Agreed scope, on-time delivery, and a complete handover so your team can take ownership from day one.

Start your project Our Work

10+ years experience · 30+ projects delivered · All 5-star rated · 100% job success · Expert-vetted · Full stack, AI-focused

AI Engineering

We train models on your data and ship them into production. From prototype to production—LLMs, RAG, and agents that deliver real business value.

Custom LLMs and fine-tuning on your domain data
RAG: retrieval-augmented generation for grounded, accurate answers
Agents that run autonomously and orchestrate complex workflows
Prompts tuned for your use case—consistency, safety, and performance
LLMOps: monitoring, versioning, A/B tests, and redeploys
Vector stores, embeddings, and semantic search at scale

OpenAI

LangChain

Pinecone

Claude

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Data Engineering

Your data flows in. Clean, queryable, ready for models. We build pipelines that scale from prototype to enterprise—streaming, batch, or hybrid.

Streaming pipelines with Kafka, Flink, or managed services
Batch ETL and orchestration with Airflow, Prefect, or custom
Data lakes and warehouses—Snowflake, BigQuery, Redshift, Databricks
Quality checks, profiling, and lineage for trust and compliance
ML feature stores for reproducible, production-ready features
Schema evolution, incremental loads, and idempotent pipelines

Kafka

Spark

Airflow

Snowflake

DBT

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Cloud & DevOps

Run it anywhere. Deploy in minutes. Sleep at night. We build and operate infrastructure that scales—multi-cloud, on-prem, or hybrid.

AWS, GCP, Azure—or all three with a unified approach
Kubernetes, containers, and serverless—pick the right fit
CI/CD pipelines that actually work—fast, reliable, observable
Terraform, Pulumi, and IaC for reproducible environments
Hardening, security audits, and compliance readiness
Cost optimization, autoscaling, and disaster recovery

AWS

GCP

Azure

Kubernetes

Terraform

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AI-Powered Product Development

Apps and platforms where AI is part of the product, not an add-on. Full-stack builds from idea to launch—frontend, backend, APIs, and AI-native UX.

Frontend + backend + APIs—React, Next.js, Flask, FastAPI, and more
AI wired into the UX from day one—chat, copilots, and intelligent flows
Shipped end-to-end with clear scope and handover documentation
Scalable from MVP to enterprise—architecture that grows with you
Design systems, component libraries, and consistent user experiences
Integration with third-party tools, auth, and real-time features

React

Next.js

Node.js

Python

FastAPI

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About Us

One partner for data, backend, frontend, and AI. Clear scope, on-time delivery, and handover so your team can own it.

Our Work

AWS data pipelines — payroll & HRIS

Architected AWS-based pipelines integrating Salesforce, Workday, PrismHR, Finch, and HRIS systems. Designed ODS and CDM layers for payroll, insurance, and compensation analytics. Large-scale transformations with Glue and PySpark, orchestrated with Airflow.

Portfolio accounting — Hazelcast & reconciliation

Enhanced portfolio accounting systems with distributed caching (Hazelcast) and data reconciliation frameworks. Implemented monitoring agents for production performance and consistency between cache and database systems.

Data governance & quality platform

Built enterprise Data Insight & Data Quality platform with Spark, Spark-SQL, and Scala. Automated checks for null analysis and correlation detection. Data modeling and architecture for governance initiatives.

Clinical ETL — Crunch & Hadoop

End-to-end ETL pipelines with Apache Crunch and Hadoop MapReduce. Cleansing and normalizing clinical datasets in HDFS. REST services (Beadledom/RESTEasy) for downstream systems and accessibility.

Investment bank desktop clients

Rich desktop clients with Eclipse RCP, SWT, and JFace. XML marshalling with JAXB. Requirement analysis, development, estimation, and production support for global investment bank workflows.

GCP Dataflow — Confluent to BigQuery

Kafka to BigQuery streaming pipeline with real-time ingestion and monitoring. Built for high-throughput event data with schema validation and dead-letter handling.

Hadoop-to-GCP Migration

Hadoop to GCP migration with validation and handover. Data lineage preserved, jobs rewritten for Dataproc and BigQuery. Full documentation and runbooks for operations.

LLM Data Training — Code Review

Code review for LLM training pipelines in Python and Docker. Architecture review, best-practice guidance, and optimization for data loading and checkpointing.

RAG knowledge base — internal docs

RAG for B2B SaaS: document ingestion, embeddings, Pinecone indexing, and search API. Internal docs searchable with semantic retrieval and citation support.

REST API — partner integrations

Partner REST API with Flask and OpenAPI. Documentation, SDK examples, and runbooks. OAuth, rate limiting, and error handling for external integrations.

Full-stack dashboard — Flask + Tailwind

Flask + Tailwind dashboard for pipeline health and SLA metrics. Real-time status, alerting, and drill-down into job runs and data quality.

ELK stack — log search & alerts

ELK stack: Logstash, Elasticsearch, Kibana. Centralized log aggregation, retention policies, and alerting for production incident response.

ML feature pipeline — training & serving

ML pipeline: feature engineering, Airflow orchestration, model registry, and serving API. End-to-end workflow from raw data to model predictions in production.

Internal copilot — LLM + tools

Internal copilot that answers questions using company docs and runs approved tools (Jira, Slack). LLM backend, RAG over Confluence/Notion, function calling. Access controls and audit logging.

Client Feedback

Feedback from clients we've worked with—all 5-star rated. We focus on clear communication and delivery so you get the same experience.

Alvascience Srl

Would definitely hire again and recommend—ability to understand requirements and a talented individual.

AppLand Inc

Very knowledgeable and professional—would recommend hiring.

Benjamin Hargrave

Top performer—will be working with them long term.

CrossroadsCX

Very talented and great to work with.

Diana Fernandez

Fantastic work, thanks!

Finer Technologies, Inc.

Perfect!!

Skills

Languages, platforms, and tools we use to deliver full-stack, data, and AI solutions.

Python Java Scala SQL TypeScript JavaScript Node.js Flask Django Spring Boot React Tailwind CSS REST APIs OpenAPI Microservices PostgreSQL PySpark Spark ETL Apache Airflow Apache Kafka Apache Crunch Hadoop HDFS AWS AWS Glue Google Cloud Platform BigQuery Dataflow Docker Data Engineering Data Quality Dashboards & KPIs Odoo Automation Large Language Models RAG Prompt Engineering Fine-tuning Embeddings Vector Search LangChain LlamaIndex LangGraph CrewAI AutoGen n8n OpenAI API Pinecone Weaviate pgvector Chroma Machine Learning scikit-learn ML Pipelines ELK Stack OpenSearch

Stack we work on

Technologies and platforms we use to build your solutions.

Cloud

Languages

Backend & APIs

Frontend

Data

AI & ML

DevOps & Infrastructure

We use AI-assisted development

We pair with AI tools like Cursor to ship faster—better code review, fewer boilerplate loops, and clearer documentation. Same quality and security; less time in the weeds.

AI augments how we write, review, and refactor code. We use it to accelerate development and keep our focus on architecture, integration, and delivering what you need—on time.

Our Process

Discovery & scope

Align on goals, data, and constraints. Agreed scope and milestones before we build.

Design & build

Build in line with scope. Check-ins, demos, and iterations so you can steer.

Deploy & handover

Deploy and hand over with docs, runbooks, and monitoring. Your team owns and extends it.

Security & Privacy

Certified, Secure, Private.

stackcone is privacy-first. We design systems that protect your data—no scope creep, no surprises, and a full handover so your team controls it from day one.