Text-to-SQL
Translate questions like "Show me Q3 revenue by region compared to last year" into production-grade SQL automatically — with guardrails for security and cost.
Our Solutions
Enterprise AI Built for Any Stack.
Six production-tested capabilities that work with the infrastructure you already run. No rip-and-replace. No multi-year migrations. Deployed in weeks — not years.
01 · Foundation
Non-Disruptive AI Integration.
We connect AI layers directly to your running systems — Oracle, MySQL, PostgreSQL, MSSQL, SAP, MongoDB — with zero downtime and zero data migration. Your stack stays intact. It just gets exponentially smarter.
Most enterprise AI projects fail because they demand infrastructure change. Ours don't. We read your schema, learn your data, and deploy intelligence around systems your teams already trust.
Discuss your integrationTypical Integration Timeline
Week 1
Schema discoveryRead-only connection, mapping of tables, relationships, access patterns
Week 2-3
Model trainingCustom models trained on your domain vocabulary and data patterns
Week 4-6
Staged deploymentPilot group tests AI layer in parallel to existing reporting
Week 7-9
Production rolloutFull handover with SLA, monitoring, and support contract active
02 · Access
Conversational Intelligence Layer.
Ask questions of your database in plain English. Our NLP engine translates natural-language queries into optimized SQL, enabling every employee — not just analysts — to extract insight instantly.
Domain-Aware RAG
Retrieval-augmented generation grounded in your internal policies, pricing rules, and product catalog — not generic internet knowledge.
Secure by Default
Every query is filtered by the user's permissions. Sales can't see HR data; finance can't see engineering — enforced at query time.
03 · Forecasting
Predictive Analytics Engine.
Move from descriptive to predictive. We embed forecasting models directly on your existing data warehouse — predicting demand, churn, fraud, inventory, or any business-critical metric.
Demand Forecasting
Retail, manufacturing, and logistics clients see 30-50% improvement in forecast accuracy vs. legacy statistical methods.
Anomaly Detection
Real-time monitoring for fraud, operational outliers, and data quality issues — with human-readable explanations for every alert.
Churn & Retention
Identify at-risk customers 60-90 days before they leave, with specific next-best-action recommendations for account teams.
04 · Modernization
Legacy System Modernization.
Breathe new life into decades-old ERP, CRM, or mainframe systems. We wrap legacy infrastructure with modern AI APIs — making old data finally useful without a costly rip-and-replace.
The average Fortune 500 runs 20+ legacy systems that hold 70% of institutional knowledge. Replacing them takes 3-7 years and costs $50M+. Wrapping them with AI takes weeks and costs 90% less.
80%
Cost Reduction vs. Replacement
6-12
Weeks to Value
100%
Legacy Data Preserved
0
Production Downtime
05 · Compliance
Governed AI & Compliance.
Every model we deploy is auditable, explainable, and jurisdiction-aware. Role-based access, data masking, and full lineage tracking ensure you remain compliant — GDPR, HIPAA, ISO 27001, SOC 2, or local regulatory mandates.
Audit Trail
Every model inference, every data access, every output — logged, signed, and queryable by regulators or internal audit.
Data Residency
Deploy inside your cloud account, on-prem, or in region-specific zones — so data never crosses jurisdictional boundaries.
Role-Based Access
Fine-grained permissions at the row, column, and cell level — enforced at query time, not after the fact.
06 · Unification
Unified Data Intelligence Hub.
Siloed databases are the #1 killer of enterprise AI. We architect a semantic layer that unifies Oracle financials, MySQL operations, and MongoDB telemetry into one AI-ready intelligence plane.
Semantic Layer
Business concepts — "customer", "revenue", "margin" — defined once, consistently applied across every database, dashboard, and AI model.
Vector Indexing
Automatic embedding generation and synchronization — your structured and unstructured data becomes searchable by meaning, not just keywords.
Federated Query
Query across Oracle, Snowflake, MongoDB, and MySQL as if they were one database — with automatic optimization and governance.
By Outcome
Measured in Business Results — Not Tech Milestones.
Every engagement is tied to specific, measurable outcomes agreed upfront. We don't get paid for deploying models. We get paid when your metrics move.
Revenue Growth
Real-time pricing optimization, demand forecasting, churn prevention, next-best-action for sales teams — typically driving 5-15% top-line lift within 12 months.
+8% average revenue lift
Cost Reduction
Process automation, predictive maintenance, fraud prevention, supply chain optimization. Up to 80% cheaper than equivalent rip-and-replace projects.
$2.4M avg. annual savings
Risk Management
AML, fraud, credit risk, compliance monitoring, operational risk. Models that explain their decisions and flag edge cases to human reviewers.
-43% fraud losses (avg)
Start Your Engagement
Which Solution Fits Your Stack?
Tell us about your systems and the outcome you're chasing. We'll return within 24 hours with a concrete engagement plan, estimated timeline, and named architects.
Request a Briefing