Intelligent systems that
learn, reason and act.
From custom LLM integrations to production ML pipelines and real-time analytics — Vanitech Labs delivers AI that ships, scales, and drives measurable ROI.
Build AI that works in production.
We design, build, and deploy custom AI systems — from conversational agents and document intelligence to fully autonomous multi-step pipelines.
Custom LLM Applications
Purpose-built apps on GPT-4o, Claude 3.5, Gemini Ultra and open-source models — fine-tuned and RAG-augmented for your domain and data.
Autonomous AI Agents
Multi-step reasoning agents built on LangChain, LangGraph and AutoGen — handling complex workflows from intake to resolution without human hand-off.
RAG & Knowledge Bases
Real-time retrieval-augmented generation pipelines that ground your LLMs in company data — reducing hallucination to near zero.
Intelligent Document Processing
LLM-powered extraction, classification, and summarisation of contracts, reports, invoices, and enterprise documents at scale.
Vision & Multimodal AI
Image classification, OCR pipelines, video analysis, and multimodal apps combining text, vision, and structured data in a single inference layer.
Responsible AI Implementation
Guardrails, bias auditing, PII redaction, and explainability frameworks to ensure your AI is safe, compliant, and auditable.
Predictive intelligence at enterprise scale.
From fraud detection to demand forecasting, we build, train, and operate production ML systems that directly improve business outcomes.
Predictive Analytics
Sales forecasting, demand prediction, churn modelling, and customer lifetime value engines trained on your historical data.
Fraud & Risk Detection
Real-time anomaly detection and risk-scoring models for banking, insurance, and e-commerce — with sub-100ms inference.
Recommendation Engines
Collaborative and content-based filtering systems that personalise product, content, and service discovery at any scale.
MLOps & Model Operations
End-to-end ML pipelines on MLflow, Kubeflow, or SageMaker — with automated retraining, A/B testing, and drift monitoring.
NLP & Text Intelligence
Sentiment analysis, entity extraction, topic modelling, and text classification for customer support, compliance, and research.
Model Deployment & Serving
High-throughput model serving with FastAPI, TorchServe, and Triton — with autoscaling, versioning, and zero-downtime rollouts.
From prototype to production GenAI.
We move fast — from proof-of-concept to battle-tested production GenAI in weeks, not months. Every implementation is grounded in your data, secured for your compliance requirements, and sized for your traffic.
Automated Content Pipelines
High-quality, brand-consistent content generation for marketing, product descriptions, legal drafts, and reports — at 100× human speed.
Enterprise Chatbots & Copilots
Domain-trained assistants for customer support, internal knowledge, and sales enablement — integrated into your existing tools.
AI-Powered Developer Tools
Custom coding assistants, automated test generation, code review bots, and documentation generators trained on your codebase.
Financial Services
Automated regulatory report generation, contract review, and investment research summarisation for tier-1 banks and asset managers.
Healthcare
Clinical note generation, discharge summary automation, and patient communication drafting that cuts administrative burden by 40%.
E-commerce
Product description generation, personalised email campaigns, and AI-powered search with natural language understanding.
Legal & Compliance
Contract analysis, clause extraction, compliance checking, and first-draft legal document generation with full audit trails.
A clear path from AI idea to ROI.
Many enterprises have AI ambitions but no clear roadmap. We bridge that gap with structured advisory — from readiness assessments to full AI governance frameworks.
AI Readiness Assessment
A structured evaluation of your data maturity, infrastructure, team capabilities, and strategic objectives — delivered as a prioritised AI opportunity map with effort and ROI estimates for each initiative.
Use-Case Prioritisation
We score and rank your AI opportunities by impact, feasibility, and time-to-value — so engineering capacity goes to the ideas most likely to move the business needle, not the most interesting ones.
Architecture & Vendor Selection
Objective guidance on build vs. buy, model selection, cloud platform choices, and integration patterns — with no vendor relationships that colour our advice.
AI Governance & Ethics Framework
Board-level AI governance policies, risk registers, bias monitoring protocols, and compliance mappings for GDPR, the EU AI Act, and sector-specific regulations.
The data infrastructure AI demands.
No AI system outperforms its training data. We build the reliable, scalable pipelines, warehouses, and feature stores that make AI possible in the first place.
Modern Data Stack
End-to-end data platforms on dbt, Snowflake, BigQuery, and Databricks — with automated testing, lineage tracking, and self-serve analytics.
Real-Time Streaming
Apache Kafka, Flink, and Spark Streaming pipelines that process millions of events per second — enabling live AI inference and instant dashboards.
Feature Stores & ML Infrastructure
Feast and Tecton feature stores that bridge data engineering and ML — ensuring training-serving consistency and accelerating model iteration.
Data you can see. Decisions you can trust.
We build executive dashboards, operational reporting systems, and self-serve analytics platforms that turn raw data into the daily decision-making tool your teams actually use.
Executive Dashboards
Real-time C-suite intelligence on Tableau, Power BI, or Looker — pulling from every source system into a single, trusted view of business performance.
Embedded Analytics
Analytics directly inside your product — giving customers and operators instant access to their data without leaving your platform.
AI-Augmented Insights
Automated anomaly detection, natural language querying, and AI-written insight narratives that surface what matters before anyone has to ask.
Your AI project starts with one conversation.
Tell us what you're building — or what problem you need solved. We'll come back with a concrete proposal, not a sales deck.