AI-Native Data Pipelines & Workflows

We build protocol layers that make complex, multi-source data accessible and actionable to AI agents and LLM's.

The gap between "we have data" and "AI can use our data" remains large for most organisations. Our protocol layers bridge this divide.Our solutions are MCP-native, LLM-agnostic, and cloud-adaptive, supporting data generation, enrichment, validation, and insight delivery at scale without disrupting your existing systems.

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ACID isn't just a database principle.
For modern AI infrastructure, we define it as:
Automated. Contextual. Intelligent. Dynamic.

AI-Native Data Infrastructure

Learn how we're building protocol layers that make complex, multi-source data accessible and actionable to AI agents and LLMs.

Read the Whitepaper

Real-world implementations. From behavioural intelligence to content generation, our infrastructure handles complex data problems at scale.

Churn Prevention
Predictive Analytics & Intervention

# MCP endpoint detects engagement risk and recommends action
GET /users/at-risk?action=retain&user_id=usr_8f7a2b
# Returns structured intelligence for orchestration
 {
   "user_id": "usr_8f7a2b",
   "analysis": {
     "risk_probability": 0.82,
     "lifetime_value": 847.20,
     ...
   }
 } 
# MCP endpoint detects engagement risk and recommends action
GET /users/at-risk?action=retain&user_id=usr_8f7a2b
# Returns structured intelligence for orchestration
 {
   "user_id": "usr_8f7a2b",
   "analysis": {
     "risk_probability": 0.82,
     "lifetime_value": 847.20,
     "cohort": "high_value_2023",
     "engagement_signals": [
       "Activity down 60% last 14 days",
       "Skipping 73% of recommended content",
       "Stopped using personalized features"
     ]
   },
   "recommendation": {
     "priority": "high",
     "intervention_params": {
       "type": "personalized_email",
       "channel": "email",
       "timing": "within_4h",
       "personalization": {
         "content_categories": ["documentary", "sci-fi"],
         "last_engaged": ["item_9821", "item_4502"],
         "viewing_pattern": "weekday_evening_smart_tv"
       }
     },
     "expected_outcomes": {
       "retention_lift": 0.34,
       "intervention_cost": 2.40,
       "ltv_recovery": 187.20,
       "roi": 78.0
     }
   },
   "routing": {
     "suggested_next_agent": "campaign_generation",
     "requires_approval": false
   }
 }

Entity Intelligence
Multi-Source Analysis & Insights

# MCP endpoint detects engagement risk and recommends action
GET /users/at-risk?action=retain&user_id=usr_8f7a2b
# Returns structured intelligence for orchestration
 {
   "user_id": "usr_8f7a2b",
   "analysis": {
     "risk_probability": 0.82,
     "lifetime_value": 847.20,
     ...
   }
 } 
# MCP endpoint detects engagement risk and recommends action
GET /users/at-risk?action=retain&user_id=usr_8f7a2b
# Returns structured intelligence for orchestration
 {
   "user_id": "usr_8f7a2b",
   "analysis": {
     "risk_probability": 0.82,
     "lifetime_value": 847.20,
     "cohort": "high_value_2023",
     "engagement_signals": [
       "Activity down 60% last 14 days",
       "Skipping 73% of recommended content",
       "Stopped using personalized features"
     ]
   },
   "recommendation": {
     "priority": "high",
     "intervention_params": {
       "type": "personalized_email",
       "channel": "email",
       "timing": "within_4h",
       "personalization": {
         "content_categories": ["documentary", "sci-fi"],
         "last_engaged": ["item_9821", "item_4502"],
         "viewing_pattern": "weekday_evening_smart_tv"
       }
     },
     "expected_outcomes": {
       "retention_lift": 0.34,
       "intervention_cost": 2.40,
       "ltv_recovery": 187.20,
       "roi": 78.0
     }
   },
   "routing": {
     "suggested_next_agent": "campaign_generation",
     "requires_approval": false
   }
 }

Content Generation
Multi-Source Analysis & Business Guardrails

# MCP endpoint analyzes genre evolution and generates descriptions
GET /genres/punk/evolution?period=1976-2024&generate=description
# Returns structured analysis with generated content
 {
   "genre_id": "punk",
   "analysis": {
     "origin_period": "1976-1977",
     "key_characteristics": {
       "tempo_range": [140, 180],
       ...
     }
   }
 } 
# MCP endpoint analyzes genre evolution and generates descriptions
GET /genres/punk/evolution?period=1976-2024&generate=description
# Returns structured analysis with generated content
 {
   "genre_id": "punk",
   "analysis": {
     "origin_period": "1976-1977",
     "geographic_centers": ["New York", "London"],
     "key_characteristics": {
       "tempo_range": [140, 180],
       "instrumentation": ["electric_guitar", "bass", "drums"],
       "vocal_style": "aggressive_shouted"
     },
     "movement_trajectory": [
       {
         "period": "1976-1979",
         "subgenre": "proto_punk",
         "influence_score": 0.92
       },
       {
         "period": "1980-1984",
         "subgenre": "hardcore_punk",
         "geographic_shift": ["Los Angeles", "Washington_DC"],
         "tempo_increase": 1.4
       },
       {
         "period": "1990-1994",
         "subgenre": "pop_punk",
         "mainstream_penetration": 0.78
       }
     ]
   },
   "generated_content": {
     "description": "Punk emerged in 1976 as a raw, confrontational response to progressive rock's complexity. Starting in New York's CBGB and London's 100 Club, it stripped rock to its essentials: three chords, shouted vocals, tempos averaging 160 BPM. By 1980, hardcore accelerated the formula in American suburbs, pushing tempos past 180 BPM and shortening song structures. The genre's 1990s pop-punk evolution introduced melody while retaining punk's energy, achieving mainstream success without abandoning its DIY ethos.",
     "confidence": 0.89,
     "sources_analyzed": 847,
     "generation_model": "claude-sonnet-4"
   },
   "routing": {
     "suggested_next_agents": [
       {
         "agent": "content_verification",
         "priority": "high",
         "checks": ["factual_accuracy", "tone_consistency"]
       },
       {
         "agent": "translation",
         "priority": "medium",
         "target_languages": ["es", "fr", "de", "ja"]
       },
       {
         "agent": "content_publishing",
         "priority": "low",
         "requires_approval": false
       }
     ],
     "workflow": "sequential"
   }
 }

Data Infrastructure Services

Built on production infrastructure processing billions of operations across validation, enrichment, and generation at scale. If we can handle the complexity of multi-source entity resolution and continuous data enrichment, we can handle
your domain.We work in domains with complex data and workflow needs—from finance to e-commerce and entertainment.

Collection & Enrichment — Specialized pipelines for complex multi-source data
Content Generation — High-volume AI content with validation and routing
Stack Deployment — Custom MCP-native infrastructure for your workflows
AI Preparation — Transform existing data for agentic use and LLM integration

Learn how we're helping organisations make their data AI-interpretable.

Read Full Paper

Schedule a consultation

NPI Labs Ltd, 3rd Floor, 86-90 Paul Street, London EC2A 4NE. Registered in England & Wales No. 15117270.
All software, designs, and intellectual property displayed are the exclusive property of NPI Labs Ltd. Unauthorized reproduction, distribution, or reverse engineering is prohibited.

AI-Native Data Pipelines & Workflows

We build protocol layers that make complex, multi-source data accessible and actionable to AI agents and LLM's.

Real-world implementations. From behavioural intelligence to content generation, our infrastructure handles complex data problems at scale.

Data Infrastructure Services

© 2024 NPI Labs Ltd. All rights reserved.

NPI Labs Ltd, 3rd Floor, 86-90 Paul Street, London EC2A 4NE. Registered in England & Wales No. 15117270. All software, designs, and intellectual property displayed are the exclusive property of NPI Labs Ltd. Unauthorized reproduction, distribution, or reverse engineering is prohibited.

NPI Labs Ltd, 3rd Floor, 86-90 Paul Street, London EC2A 4NE. Registered in England & Wales No. 15117270.
All software, designs, and intellectual property displayed are the exclusive property of NPI Labs Ltd. Unauthorized reproduction, distribution, or reverse engineering is prohibited.