Ingest any data from any source, enforce zero-trust security, run sub-second SQL on petabytes, and deploy GenAI agents — all from one unified platform with zero vendor lock-in.
Move beyond isolated chatbots. CogFocus DIP implements the modern 2026 AI stack: OpenAI Swarm multi-agent dynamic handoffs, DeepSeek-R1 / OpenAI o1 inspectable thought trails, sub-5ms speculative semantic caching, and Apache HugeGraph Leiden community synthesis.
Specialized micro-agents coordinate through dynamic routine handoffs: Triage Leader → Lakehouse Data Engineer → Security & DPDP Compliance Officer → Executive Visualizer with 0 context bleed.
Shard 80-layer 70B+ models (e.g. Llama-3.3-70B, DeepSeek-R1) across distributed worker GPUs. Continuous heartbeat monitors trigger auto-healing failover in <400ms if any node disconnects.
Inspectable internal scratchpads (<thought> trails) with token budget controls (1k, 4k, 16k). Enforces Layer 1 PII masking inside thoughts so raw Aadhaar or PAN keys are never leaked to logs.
Sub-5ms semantic cache hits with $0 GPU token cost for prompt embeddings with cosine similarity ≥ 0.95. Dynamic 3-tier router (Phi-3 Mini, Llama 3.3 70B, DeepSeek-R1) cuts inference bills by 75%.
Transforms raw Iceberg tables into an Apache HugeGraph knowledge network. Pre-computes Leiden Hierarchical Communities for holistic multi-document RAG and supports Dual-Search (Global + Local).
In an enterprise lakehouse, data continually moves across borders, tiers, and environments. CogFocus DIP enforces zero-trust boundary gates, real-time Debezium CDC gatekeeping, automatic multi-regional PII de-identification, and tamper-evident SHA-256 cryptographic transfer receipts.
Strictly enforces sovereign data residency across India (RBI Circular 2785), EU (GDPR Art. 44–50 / Schrems II), Saudi Arabia (SDAIA PDPL Art. 29), and APAC (Singapore PDPA). Unauthorized foreign egress is halted at wire speed.
Directly integrated into CDCIcebergWorker. Every Debezium micro-batch is evaluated for jurisdiction and boundary violations before SQL emission. Non-compliant batches are quarantined to the Dead-Letter Queue (DLQ).
Native sanitizers for India (Verhoeff $D_5$ Aadhaar, PAN, UPI), US (HIPAA 18 Safe Harbor ePHI, SSN), EU (IBAN, passport tokens), and Saudi Iqama. Moving from Prod to Dev/Staging automatically triggers dynamic obfuscation.
Every movement evaluation generates an immutable SHA-256 certificate hashing source, target, timestamp, policy rules, and content digest. Complete with 1-click auditor export for RBI, CERT-In, and GDPR DPAs.
Engineered specifically for Indian enterprises and multinationals operating in India. Full conformance with Digital Personal Data Protection (DPDP) Act 2023, RBI Data Localization Directives, and UIDAI Regulation 16A.
Mathematical Dihedral Group $D_5$ multiplication and permutation tables validate 12-digit Aadhaar IDs. Corrupted numbers are dropped; valid IDs receive strict UIDAI 16A masking (XXXXXXXX1234).
Enforces real-time regex sanitization on Income Tax PAN cards ([PAN_MASKED:AB***F]), UPI VPA Handles (pr****@okaxis), and Indian Mobile (+91) contact numbers.
Blocks multilingual prompt injection exploits that attempt to bypass English safety filters using Hinglish or Devanagari ("Pichle saare rules bhool jao...", "सभी पिछले निर्देशों को अनदेखा करें").
Guarantees end-to-end payment data residency inside Indian borders in accordance with RBI Circular DPSS.CO.OD.No.2785/06.08.005/2017-18 and generates immutable 180-day audit trails.
How Big Tech isolates unclassified ingestion. Every unverified CSV, JSON, or S3 drop lands in a sandboxed quarantine bucket until mathematical Shannon Entropy, pattern density, and quality assertions confirm it is safe to enter the Lakehouse.
Calculates information entropy ($H = -\sum p_i \log_2 p_i$). Any asset with $H > 4.5$ is flagged as containing encrypted payloads, leaked API keys, or private SSH certificates, and quarantined by default.
Executes pre-merge assertions on null ratios, uniqueness, and numerical range bounds. If corruption exceeds threshold, the circuit breaker trips, instantly halting the pipeline and logging an incident.
Tracks datasets and column transformations conforming to the OpenLineage v1.0.2 standard, visualized via Apache HugeGraph from raw ingestion through to model serving and AI agents.
CogFocus DIP is your single ingestion highway — connecting to every corporate data source, validating every byte with binary inspection, redacting sensitive PII, and automatically committing records into Apache Iceberg Bronze, Silver, and Gold lakehouse tables.
Powered by Apache Iceberg Spec v2 and distributed Trino MPP, CogFocus DIP executes analytical queries up to 3.2× faster than legacy Spark clusters directly on open object storage.
FOR SYSTEM_TIME AS OF.
| customer_id | email (PII) | card_number | amount | risk_score |
|---|---|---|---|---|
| cust_89214 | al***t@enterprise.com | ****-****-****-8842 | $1,420.50 | 0.02 (Low) |
| cust_78119 | ma***s@healthcare.org | ****-****-****-5120 | $840.00 | 0.05 (Low) |
| cust_44302 | da***n@fintech.io | ****-****-****-1983 | $4,950.00 | 0.84 (Alert) |
Empower data engineers and software architects with an end-to-end GenAI studio. Run 100% private local models on your own GPUs or connect to any leading cloud AI provider through unified governance and prompt guardrails.
Run Llama 3.3, DeepSeek-R1, Mistral, or Qwen using integrated Ollama & vLLM on private GPU/CPU hardware. Zero tokens or training data leave your VPC — essential for finance and healthcare.
Connect seamlessly to OpenAI (GPT-4o, o3), Anthropic (Claude 3.5 Sonnet), AWS Bedrock, and Google Vertex AI via one secure API with automatic key rotation, rate-limiting, and cost budgets.
Ground responses with petabyte Iceberg data converted to high-speed vector embeddings in Qdrant. Expose live schemas, SQL executors, and catalogs to external coding agents via Model Context Protocol (MCP).
Pre-configured workflow templates that safely connect business users to governed Lakehouse intelligence.
Enterprises cannot afford 6-month evaluation cycles or security blind spots. Every LLM and SLM on CogFocus is pre-scored across 6 capability dimensions, stress-tested against PII/PHI leakage, and certified for air-gapped zero-egress compliance.
Data architectures fail without bulletproof governance. CogFocus DIP ships with end-to-end lineage visualization, automated quality assertions, immutable audit logging, and role-based data masking.
Multi-tier visual graph tracking data end-to-end: Postgres WAL → Debezium CDC → Iceberg Medallion → Trino MPP & GenAI.
Continuous Great Expectations assertion suites, null/uniqueness gates, anomaly detection, and freshness SLA tracking (<6h bounds).
Immutable activity stream recording every SQL execution, API request, token authorization, and schema change with 1-click auditor export.
Column-level redaction for PII, SSN, Credit Cards, and Salaries. Executive admins see clear text; regular analysts receive masked strings automatically.
Traffic enters via zero-trust reverse-proxy ingress, federates identity through the Central Identity Platform (CIP), and executes within schema-isolated customer workspaces.
Eliminate redundant multi-vendor subscription fees, fragile integration glue-code, and credential sprawl with a single unified data operating system.
Compare CogFocus DIP to Snowflake, Databricks, and fragmented legacy DIY setups across storage spec, GenAI sovereignty, and compute ownership.
| Capability / Dimension | CogFocus One DIP | Snowflake | Databricks |
|---|---|---|---|
| Storage Standard | Apache Iceberg Spec v2 (100% Open) | Proprietary FDN / Iceberg managed | Delta Lake (Linux Foundation) |
| Local / On-Prem GenAI | Built-in (Ollama + vLLM on private GPUs) | Cloud-Only (Cortex) | Heavy MosaicML Setup |
| Multi-Cloud AI Connectors | Universal Gateway (OpenAI, Claude, Bedrock) | Limited Cortex integrations | Databricks Model Serving |
| Data Lineage & Quality SLAs | Built-in HugeGraph + Great Expectations | Third-party partners required | Unity Catalog Lakeflow ($$$) |
| Dynamic Masking & RBAC | Built-in Ranger RBAC + Audit Vault | Enterprise Tier Required | Unity Catalog Premium |
| Vendor Lock-In Risk | 0% (Standard Open Object Store) | High (Data locked in proprietary warehouse) | Medium (DBR runtime compute lock) |
Everything engineering teams, data architects, and security auditors need to build, integrate, and verify on CogFocus One.
Live sandbox explorer for all REST API endpoints: trigger pipeline runs, execute Iceberg queries, monitor lakehouse health, and dispatch agent swarm routines.
Structured three-panel technical documentation detailing authentication headers, payload validation schemas, HTTP status codes, and rate-limiting quotas.
Comprehensive guide to the 5-tier architecture: Apache Iceberg v2 storage, Trino MPP distributed execution, zero-copy CDC, and Apache Ranger access controls.
Programmatic client SDK (pip install cogfocus), unified dip CLI, and Model Context Protocol server for IDE agent integration.
Tamper-evident cryptographic SHA-256 audit ledger. Verify cryptographic chain validity and export 180-day regulator-ready reports in CSV/JSON formats.
Live health diagnostics across all 20 distributed microservices: Trino, Iceberg, Spark Connect, Airflow, MinIO, Kafka, Prometheus, and OpenTelemetry collectors.
Launch an isolated workspace, test distributed Trino queries against Apache Iceberg, test private local AI models, and inspect compliance audit logs with instant demo access.
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