Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
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AI Data Foundry
AI Data Foundry
AI Data Foundry
The Operating System
The Operating System
The Operating System
for Enterprise AI
for Enterprise AI
for Enterprise AI
AI is now embedded across the enterprise, powering products, decisions, and automated systems at scale. Centific’s AI Data Foundry is the infrastructure layer that enables organizations to develop, operate, and govern production AI with consistency, visibility, and control.
The hidden infrastructure behind world-class AI models
The hidden infrastructure behind world-class AI models
The hidden infrastructure behind world-class AI models
Overview
Overview
The Platform Behind Trusted AI
The Platform Behind Trusted AI
Total solution.
Total solution.
Total solution.
AI is now making millions of decisions on behalf of your business. Yet most organizations still cannot explain where their models came from, how they were trained, or why they behave the way they do.
Centific’s AI Data Foundry changes that. Built with complete lineage at its core, AIDF unifies the entire AI lifecycle - data, models, agents, and governance - into one auditable, enterprise-ready platform.
AI is now making millions of decisions on behalf of your business. Yet most organizations still cannot explain where their models came from, how they were trained, or why they behave the way they do.
Centific’s AI Data Foundry changes that. Built with complete lineage at its core, AIDF unifies the entire AI lifecycle - data, models, agents, and governance - into one auditable, enterprise-ready platform.
Complete Lineage from Data to Decision
Every AI decision should be traceable, just like an employee’s performance record. AIDF delivers unified lineage across the entire lifecycle, from raw data to deployed agents, with immutable audit trails and version history. When something goes wrong, you can trace it back to the source; instantly, provably, and defensibly.
Complete Lineage from Data to Decision
Every AI decision should be traceable, just like an employee’s performance record. AIDF delivers unified lineage across the entire lifecycle, from raw data to deployed agents, with immutable audit trails and version history. When something goes wrong, you can trace it back to the source; instantly, provably, and defensibly.
Unified End-to-End AI Lifecycle
Stop stitching together disconnected tools. AIDF unifies the full AI pipeline in one platform: Data Hub (collection), Data Canvas (annotation), AI Workbench (training), Agent Factory (deployment), and Safe AI (monitoring). Every handoff is visible. Every step is governed. Every model is documented.
Unified End-to-End AI Lifecycle
Stop stitching together disconnected tools. AIDF unifies the full AI pipeline in one platform: Data Hub (collection), Data Canvas (annotation), AI Workbench (training), Agent Factory (deployment), and Safe AI (monitoring). Every handoff is visible. Every step is governed. Every model is documented.
Built-In Governance, Trust, and Observability
AI agents now make millions of decisions daily; without oversight, that’s an enterprise risk. AIDF embeds governance, explainability, continuous evaluation, and compliance controls into every layer, giving you full observability from data source to business outcome.
Built-In Governance, Trust, and Observability
AI agents now make millions of decisions daily; without oversight, that’s an enterprise risk. AIDF embeds governance, explainability, continuous evaluation, and compliance controls into every layer, giving you full observability from data source to business outcome.
Vendor-Neutral, No Lock-In Architecture
Run where your data lives: AWS, Azure, GCP, hybrid, or on-prem. Use any model: GPT, Claude, Gemini, DeepSeek, or your own. AIDF’s decoupled architecture prevents vendor lock-in, protects data sovereignty, and ensures predictable total cost of ownership.
Vendor-Neutral, No Lock-In Architecture
Run where your data lives: AWS, Azure, GCP, hybrid, or on-prem. Use any model: GPT, Claude, Gemini, DeepSeek, or your own. AIDF’s decoupled architecture prevents vendor lock-in, protects data sovereignty, and ensures predictable total cost of ownership.
Enterprise-Grade, Regulated-Ready AI
Built for industries where compliance is survival - banking, healthcare, and government. AIDF is designed for auditability, regulatory readiness, and sovereign deployments, supporting frameworks like MAS, HIPAA, EU AI Act, and FedRAMP. Every model is defensible. Every decision is provable.
Enterprise-Grade, Regulated-Ready AI
Built for industries where compliance is survival - banking, healthcare, and government. AIDF is designed for auditability, regulatory readiness, and sovereign deployments, supporting frameworks like MAS, HIPAA, EU AI Act, and FedRAMP. Every model is defensible. Every decision is provable.
Technical Features
Technical Features
The Platform for Production AI
Trusted by Global Enterprises
Modern AI environments span fragmented data, multiple models, and dynamic production systems. To operate reliably, they require a platform layer that standardizes data handling, enforces policy, preserves version integrity, and provides end-to-end operational visibility, so AI can scale without losing control, traceability, or performance.
Modern AI environments span fragmented data, multiple models, and dynamic production systems. To operate reliably, they require a platform layer that standardizes data handling, enforces policy, preserves version integrity, and provides end-to-end operational visibility, so AI can scale without losing control, traceability, or performance.
Multi-Source Data Ingestion
Connect structured, unstructured, streaming, and synthetic data from cloud, on-prem, APIs, and edge systems through scalable ingestion pipelines.
Multi-Source Data Ingestion
Connect structured, unstructured, streaming, and synthetic data from cloud, on-prem, APIs, and edge systems through scalable ingestion pipelines.
Multi-Source Data Ingestion
Connect structured, unstructured, streaming, and synthetic data from cloud, on-prem, APIs, and edge systems through scalable ingestion pipelines.
Semantic Data Layer
Auto-generated metadata, embeddings, and vector indexing enable semantic search, clustering, and dataset intelligence across the platform.
Semantic Data Layer
Auto-generated metadata, embeddings, and vector indexing enable semantic search, clustering, and dataset intelligence across the platform.
Semantic Data Layer
Auto-generated metadata, embeddings, and vector indexing enable semantic search, clustering, and dataset intelligence across the platform.
Versioned Dataset Registry
Built-in review workflows ensure accuracy and consistency through conflict resolution and consensus mechanisms, supported by automated checks for labeling errors and inconsistencies.
Versioned Dataset Registry
Built-in review workflows ensure accuracy and consistency through conflict resolution and consensus mechanisms, supported by automated checks for labeling errors and inconsistencies.
Versioned Dataset Registry
Built-in review workflows ensure accuracy and consistency through conflict resolution and consensus mechanisms, supported by automated checks for labeling errors and inconsistencies.
Distributed Training Pipelines
Orchestrate fine-tuning, RAG pipelines, and multi-model experiments using scalable compute with job scheduling and artifact tracking.
Distributed Training Pipelines
Orchestrate fine-tuning, RAG pipelines, and multi-model experiments using scalable compute with job scheduling and artifact tracking.
Distributed Training Pipelines
Orchestrate fine-tuning, RAG pipelines, and multi-model experiments using scalable compute with job scheduling and artifact tracking.
Model & Prompt Registry
Track model weights, prompts, hyperparameters, and evaluation results across environments with rollback and promotion workflows.
Model & Prompt Registry
Track model weights, prompts, hyperparameters, and evaluation results across environments with rollback and promotion workflows.
Model & Prompt Registry
Track model weights, prompts, hyperparameters, and evaluation results across environments with rollback and promotion workflows.
Policy & Access Engine
Attribute-based access control, data zoning, PII policies, and role-based governance enforced at query and pipeline runtime.
Policy & Access Engine
Attribute-based access control, data zoning, PII policies, and role-based governance enforced at query and pipeline runtime.
Policy & Access Engine
Attribute-based access control, data zoning, PII policies, and role-based governance enforced at query and pipeline runtime.
Real-Time Telemetry
Capture latency, drift, hallucination signals, and confidence metrics across live agents with streaming observability.
Real-Time Telemetry
Capture latency, drift, hallucination signals, and confidence metrics across live agents with streaming observability.
Real-Time Telemetry
Capture latency, drift, hallucination signals, and confidence metrics across live agents with streaming observability.
Event-Driven Orchestration
Trigger workflows based on data changes, evaluation failures, or compliance rules using API-first, event-based automation.
Event-Driven Orchestration
Trigger workflows based on data changes, evaluation failures, or compliance rules using API-first, event-based automation.
Event-Driven Orchestration
Trigger workflows based on data changes, evaluation failures, or compliance rules using API-first, event-based automation.
Secure Deployment Fabric
Isolated environments, encrypted data paths, model sandboxing, and sovereign-region controls for regulated and air-gapped use cases.
Secure Deployment Fabric
Isolated environments, encrypted data paths, model sandboxing, and sovereign-region controls for regulated and air-gapped use cases.
Secure Deployment Fabric
Isolated environments, encrypted data paths, model sandboxing, and sovereign-region controls for regulated and air-gapped use cases.
Centific Ecosystem
The Complete AI Stack
Built to advance, deploy, and govern intelligence
Build & Train AI
Platforms
Verticals
Centific Ecosystem
The Complete AI Stack
Built to advance, deploy, and govern intelligence
Build & Train AI
Platforms
Verticals
Centific Ecosystem
The Complete AI Stack
Built to advance, deploy, and govern intelligence
Build & Train AI
Platforms
Verticals
Blog
Research, insights, and updates
from the front lines of AI.
From applied research to real-world deployments, explore how Centific advances AI through data, evaluation, and expert-led execution.
Research, insights, and updates
from the front lines of AI.
From applied research to real-world deployments, explore how Centific advances AI through data, evaluation, and expert-led execution.
Research, insights, and updates
from the front lines of AI.
From applied research to real-world deployments, explore how Centific advances AI through data, evaluation, and expert-led execution.
Customer Stories
Proven results
with leading AI teams.
See how organizations use Centific’s data and expert services to build, deploy, and scale production-ready AI.
Newsletter
Stay ahead of what’s next
Stay ahead
Updates from the frontier of AI data.
Receive updates on platform improvements, new workflows, evaluation capabilities, data quality enhancements, and best practices for enterprise AI teams.