Meet Your Next-Gen
Data Architect SPEED A.I
Enterprise data movement meets an intelligent AI Brain. Orchestrate and sync over 160+ systems with conversational ease.
Unprecedented Capabilities
SPEED AI features a modular, cloud-native architecture optimized for zero-loss, high-speed data synchronizations at scale.
AI Brain Interface
Seamless conversational onboarding. Configure hundreds of business systems and database pipelines through natural dialogue, entirely eliminating custom YAML/JSON coding.
Zeta Engine
Harness the native power of the SPEED Zeta Engine. Achieve unmatched high-throughput execution designed specifically to synchronize zillions of records concurrently.
Proactive Alerting
A highly proactive telemetry system that intercepts performance bottlenecks, network latency spikes, and pipeline errors before they affect downstream analytics.
Schema Intelligence
Advanced structural integrity driven by AI. Automatically match, validate, and resolve complex schema mappings between highly divergent source and target systems.
Multi-Target Sync
Move far beyond simple 1:1 migrations. Visually design and execute complex multi-target data flows, handling sophisticated validation and routing rules with ease.
Enterprise Security
Airtight security for compliance-heavy environments. Features OIDC Keycloak SSO integrations, role-based access logs, and Fernet symmetric encryption at rest.
Autonomous DBA & RCA
Real-time telemetry overlay on your control dashboard. Utilizes AI to execute Root Cause Analysis (RCA), resolve write blocks, and advice on partition optimization.
Data Spot Checks
Verify data fidelity instantly. Perform real-time, zero-copy visual spot checks, value distributions, and format previews directly between active pipelines.
Data Steward AI
Automated governance and schema auditing. Enforce in-flight PII masking rules, structural validations, and automatic pipeline metadata cataloging with AI.
The Quantum Pipeline
Orchestrating real-time, high-throughput data streams from hundreds of operational sources into massive analytics destinations, simultaneously.
Architected for Every Industry
SPEED AI matches the unique regulatory, latency, and structural demands of global industries.
Banking & Financial Services
Ensure regulatory compliance with real-time PII masking, automate legacy mainframe data extraction, and stream transaction logs to fraud detection models instantly.
Instantly stream and analyze millions of transactions per second to catch anomalous behaviors before money leaves the bank, with less than 50ms transfer latency.
Automatically scrub and encrypt sensitive customer data (card tokens, SSNs) in-flight without persisting it anywhere, ensuring GDPR, HIPAA, and CCPA compliance.
Bridge legacy AS/400 mainframes with modern Snowflake data warehouses by parsing complex EBCDIC files into clean JSON schemas automatically.
Healthcare & Life Sciences
Unify patient records across hospital departments by dynamically translating HL7/FHIR formats and streaming secure healthcare records to analytics engines.
Convert legacy medical formats dynamically to standard RESTful FHIR schemas to connect diagnostic systems, pharmacies, and EHR platforms seamlessly.
Consolidate patient history logs, pharmaceutical records, and external laboratory reports into a single, real-time query interface for clinical assistants.
Airtight compliance structure featuring fully encrypted payloads, audit tracking details, and row-level authorization permissions for strict data custody.
Smart Manufacturing & Operations
Aggregate massive volumes of sensor telematics from edge factory floors and stream them to predictive maintenance engines without network bottlenecks.
Stream vibration and heat sensor telematics from edge turbines directly to ML models, catching breakdown triggers weeks in advance.
Ingest thousands of concurrent MQTT telemetry packets without overloading primary database write capacity through buffering.
Synchronize logistics databases and external ERP tables in real-time, mapping a unified view of materials and inventory balances.
Retail & E-Commerce
Achieve a true 360-degree customer view by syncing inventory databases, CRM platforms, and live e-commerce transaction streams in milliseconds.
Merge physical POS logs, online purchase baskets, and customer support history into a single clean target profile for personalized recommendations.
Ensure that item levels are perfectly reflected across online storefronts, physical registers, and warehouses to prevent stockout scenarios.
Feed competitor metrics, search trends, and local warehouse supply status dynamically into pricing modules to optimize sales margins.
Transforming Enterprise Data Dynamics
See how global teams accelerate migration pipelines and secure structural cost reductions with SPEED AI.
Cloud Data Migration
Seamlessly lift-and-shift legacy on-prem databases (Oracle, DB2) to modern data warehouses like Snowflake, BigQuery, or Redshift with automatic, AI-driven schema conversion. Our intelligent system maps complex relational models to optimal column-store patterns, transforming stored procedures into modern SQL equivalents, ensuring zero-downtime cutovers and automated reconciliation.
Real-Time CDC Analytics
Stream transactional database changes directly into Kafka or Elasticsearch in real-time, enabling sub-second business intelligence dashboards without impacting operational loads. SPEED hooks directly into database transaction logs (redo/write-ahead logs) to extract transaction increments instantly, ensuring downstream analytic queries run against real-time data without performance degradation on primary operational transactional systems.
Data Lake Hydration
Continuously sync massive volumes of structured and semi-structured data into central analytics lakes (AWS S3, Azure) to train advanced machine learning and AI workloads. SPEED orchestrates partition generation, compresses files on-the-fly to Parquet formats, updates Hive metastores, and registers data elements inside catalog services automatically, providing clean data streams directly to your ML training sets.
Number of source databases or SaaS targets to sync and maintain.
Databases, warehouses, data lakes, or SaaS platforms integrated today.
Dedicated Data Engineers, DBAs, and developers managing pipelines.
Fully loaded average yearly cost per engineering resource.
Your ROI with SPEED AI
Deploy SPEED AI to Your Data Infrastructure
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