Web Summit Lisbon • 2025

The Adaptive Layer of Generative AI

Adaptive cognition, delivered as code. A cognitive layer that learns your domain’s logic and evolves continuously — without manual retraining.

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Hybrid RAG

Semantic retrieval + business rules for grounded answers.

LoRA + DPO

Lightweight adaptation using synthetic preference feedback.

Continuous Loop

Self-improving cognition with traceable reasoning.

What it is

About the SDK

The PixelPulse Adaptive Layer SDK is a generative cognitive layer designed to transform enterprise data into explainable, contextual reasoning. Unlike static models or agent chains, it learns each domain’s logic and adjusts continuously via synthetic feedback, with no manual retraining.

How it works

Architecture — Three Layers

Dataset Layer

Data ingestion, normalization and semantic embeddings with vector indexing. Your data becomes meaning.

Adaptive Layer

Hybrid RAG + LoRA + DPO for lightweight, incremental learning and explainable reasoning.

Application Layer

Conversational APIs and Insight Engine deliver decisions in natural language and dashboards.

Intelligent Feedback Loop

Every interaction is evaluated programmatically (precision, utility, grounding). The model adjusts via LoRA/DPO and vectors are refreshed, enabling continuous improvement without heavy retraining.

Live Demo

How PixelPulse SDK Works

See in real-time how our algorithms process data and learn continuously

Data Ingestion

Raw data flows into the system

Vector Embedding

Data transforms into semantic vectors

RAG Processing

Hybrid retrieval with business rules

LoRA Adaptation

Lightweight model fine-tuning

Continuous Learning

DPO feedback loop optimization

Data

Process

Learn

Adapt

Click the dots to navigate through the process • Auto-animation active

Technology Stack

Powered by Industry Leaders

Built on proven enterprise-grade technologies and AI infrastructure

Pinecone

Vector Database

Google Cloud

GPU Infrastructure

Supabase

Database & Auth

Meta AI

Llama Models

Vercel

Edge Deployment

Weights & Biases

ML Observability

LangChain

LlamaIndex

Hugging Face

MLflow

Evidently

TRL

Serverless by design

Technical Blueprint

Core

Python + FastAPI (async)

Deploy

Vercel Edge (frontend/APIs leves) + GCP Cloud Run (GPU on-demand)

Vector DB

Pinecone (HNSW, 768-d)

Data & Auth

Supabase (Postgres + JWT)

RAG

LangChain + LlamaIndex

Models

Llama 3.1 8B / Mistral 7B; Embeddings mpnet-base-v2

Tuning

LoRA (PEFT) + DPO (TRL)

Observability

MLflow + Weights & Biases + Evidently

Use cases

Multi-Vertical, One Adaptive Core

Fintech & Payments

Credit propensity, adaptive risk, cashback intelligence.

Healthcare & Clinics

Operational insights, occupancy forecasts, explainable recommendations.

Logistics & Mobility

Route optimization, delay prediction, cost anomalies.

Retail & E-commerce

Personalization, dynamic pricing, churn signals.

Fiscal & Compliance

Fiscal audit, anomaly detection, structured evidence.

Education & Energy

Adaptive tutoring; demand & maintenance predictions.

Strategic Intelligence

Beyond Dashboards — Strategic Reasoning

Experience AI that thinks strategically, not just visualizes data. Get insights that drive decisions, not just reports.

Live Strategic Intelligence

AI Reasoning Active

What's driving our customer churn this quarter?

Reasoning Process

Analyzing customer behavior patterns, payment history, and engagement metrics across 47,000 active users...

Strategic Insight

Primary churn drivers: 1) Payment failures increased 23% after pricing change, 2) Feature usage dropped 31% for users on legacy plans, 3) Support ticket volume spiked 45% in last 30 days

Recommendation

Immediate action: Implement payment retry logic, offer migration incentives for legacy users, and deploy proactive support for high-risk segments

Confidence

94%

Impact

High - Could reduce churn by 15-20%

Conversational Reasoning

Ask complex questions in natural language. Get strategic insights with full reasoning chains.

"Why did our Q3 revenue miss targets by 8%?"

Predictive Intelligence

Anticipate market shifts, customer behavior, and business risks before they impact you.

"Customer churn probability: 67% for segment A"

Strategic Recommendations

Get actionable insights with confidence scores and impact assessments.

"Launch product X in Q2 for €2.1M revenue (89% confidence)"

Context-Aware Analytics

Understand not just what happened, but why it happened and what to do about it.

"Revenue drop caused by competitor pricing, not product issues"

Strategic Intelligence vs Traditional BI

Traditional BI Tools

Show what happened (reactive)
Require manual analysis
Static dashboards
No strategic context

PixelPulse Strategic Intelligence

Predict what will happen (proactive)
Automated strategic reasoning
Conversational interface
Actionable recommendations

Web Summit Demo

Experience the Complete Journey

Experience the complete data journey: from multi-source ingestion through semantic transformation to strategic intelligence. See how diverse data types become actionable insights with detailed process visualization.

Detailed process visualization • Educational experience • Perfect for WebSummit presentations

Agents vs Adaptive Layer

Dimension	Agents / Automation	PixelPulse Adaptive Layer
Purpose	Execute tasks	Learn patterns and decide
Input	Prompts + APIs	Data + context (embeddings)
Logic	Deterministic flows	Adaptive reasoning (RAG/LoRA/DPO)
Output	Task execution	Explainable insights & recommendations
Horizon	Short-term	Long-term intelligence
Success	Time saved	Accuracy, margin, risk reduction

Build path

Roadmap 2025

v0.1

Core SDK

RAG + Embeddings + LoRA (foundation)

v0.2

Feedback Loop

DPO + synthetic evaluation

v0.3

Insight Engine

Narrative dashboards + APIs

v1.0

SaaS SDK

Multitenant + billing + packs

Meet us @ Web Summit Lisbon

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