Enterprise AI Solutions Powered by Your Data Lake
Artificial Intelligence is only as strong as the data foundation beneath it. Qorksoft combines custom AI agents and LLM workflows with Lake of Tears data lakehouse deployments—giving your company complete ownership of its data, analytics, and AI in production.
The Lake of Tears Data Lakehouse Advantage
To deploy reliable enterprise AI without runaway cloud warehouse bills, Qorksoft builds on Lake of Tears—a unified, self-hosted data lakehouse platform inspired by Databricks. It brings your object storage, SQL engine, vector embeddings, ETL pipelines, notebooks, and BI dashboards under one Kubernetes ingress and one web shell.
Whether connecting to Stripe, Shopify, HubSpot, PostgreSQL, or proprietary enterprise databases, Qorksoft configures Lake of Tears to automatically ingest, partition into Parquet, chunk and embed documents, and expose natural-language RAG search and AI-assisted SQL across your entire organization.
Unified Data Lakehouse Shell
One URL and single sidebar unifying SQL Editor, JupyterLab Notebooks, Apache Superset BI Dashboards, Apache Airflow Pipelines, Data Catalog, and AI Query.
Parquet Storage + DuckDB + Vector Search
S3-compatible object storage partitioned in native Parquet, queried directly via DuckDB and Vector Similarity Search (VSS) embeddings with zero external warehouse tax.
Multi-Model AI & Plain-English RAG
Ask questions in plain English grounded in your enterprise tables and documents using Google Gemini, OpenAI, Azure AI Foundry, Amazon Bedrock, or self-hosted Ollama/vLLM.
Kubernetes-Native & Enterprise SSO
Deployed via Helm on Kubernetes with one-command TOON configuration, role-based access control, and SSO via Okta, Microsoft Entra ID, Google, GitHub, or OIDC.
Core AI & Data Lake Solution Architectures
Every solution is engineered around your proprietary data, cloud security boundaries, and operational KPIs.
Lake of Tears Data Lakehouse Deployment
We deploy and customize Lake of Tears—the self-hosted enterprise Databricks alternative—directly into your cloud or on-premise Kubernetes cluster to serve as the unified data and RAG backbone for all your AI initiatives.
Production Capabilities Included:
- Automated Airflow ingestion pipelines for Stripe, Shopify, HubSpot, PostgreSQL, and custom APIs
- Parquet-native S3 data lake with high-speed DuckDB SQL & vector embedding indexing
- Embedded Apache Superset BI dashboards & interactive JupyterLab notebooks in one shell
- Enterprise SSO integration (Okta, Entra ID, Google, OIDC) with zero per-seat licensing bloat
Custom AI Agents & Autonomous Copilots
Deploy domain-specialized AI agents grounded in your Lake of Tears data lakehouse that execute multi-step workflows, query internal APIs, triage customer requests, and assist operations teams in real time.
Production Capabilities Included:
- Tool-calling agents connected directly to your Lake of Tears catalog, CRM, and ERP
- Human-in-the-loop approval gates and deterministic execution guardrails
- Multi-agent orchestration with full audit logging and cost controls
- Custom internal employee copilots for operations, finance, legal, and support
Intelligent Workflow & Operations Automation
Eliminate manual back-office bottlenecks by combining LLM reasoning and agentic chunking with high-reliability microservices and event-driven automation.
Production Capabilities Included:
- Automated document extraction, contract chunking, and compliance verification
- Intelligent intake routing and automated customer onboarding pipelines
- Legacy system bridging via modern REST/GraphQL microservices
- 24/7 autonomous pipeline monitoring with instant exception escalation
Predictive Machine Learning & Anomaly Detection
Turn raw operational telemetry and transaction history in your data lake into high-accuracy forecasts, Isolation Forest anomaly detection, and AI-explained insights.
Production Capabilities Included:
- Automated anomaly detection with scikit-learn & LLM root-cause explanations
- Custom PyTorch & TensorFlow model training and domain fine-tuning
- Demand forecasting, churn prevention, and supply-chain optimization
- Executive KPI command centers powered by Superset and real-time SQL
How We Deploy Data Lakes & AI Into Production
A disciplined, four-stage delivery blueprint designed for enterprise security, observability, and rapid time-to-value.
Discovery & Data Audit
We audit your existing data sources, operational silos, and security requirements to map out your Lake of Tears data lakehouse and highest-ROI AI use cases.
Lake of Tears Deployment
We deploy the Lake of Tears platform on your Kubernetes infrastructure, configuring Airflow connectors, Parquet S3 storage, DuckDB, and enterprise SSO.
Embeddings, RAG & Agent Build
Our engineers configure recursive and agentic chunking pipelines, vector embeddings, and custom AI agents grounded directly in your data lake.
Production MLOps & Scale
We hand over a fully observable, self-hosted AI & BI ecosystem with automated CI/CD, zero-disk secret streaming, and ongoing engineering support.
Ready to Deploy Your Data Lakehouse & AI Stack?
Speak directly with Qorksoft's engineering team to scope your Lake of Tears data lake, custom AI agent, or cloud modernization project.