Your AI
Transformation Partner.
Helping enterprises move from experimentation to measurable business impact through custom AI models, secure private cloud deployments, and automated MLOps infrastructure.
AI Outcomes. Built for the C-Suite.
We don't build tech for tech's sake. We engineer custom AI systems mapped directly to your core business functions to increase revenue, reduce overhead, and secure your IP.
AI for Revenue Growth
- ✓Automated Lead Qualification
- ✓Sales Intelligence & Pricing ML
- ✓Conversational Customer Engagement
Converts inbound pipeline automatically, reducing sales triage times by 60% and lifting dynamic checkout recommendations by up to 30%.
AI for Operations
- ✓Unstructured PDF Ingestion
- ✓Process Intelligence Pipelines
- ✓Manual Workflow Automation
Eliminates expensive manual data processing, parsing complex corporate files with 99.4% accuracy and reducing internal triage latency by 15x.
AI for Leadership
- ✓Executive Decision Dashboards
- ✓Algorithmic Risk Scoring
- ✓Drift & Anomaly Detection
Minimizes decision bias. Equips board-level executives with real-time forecasting, predictive deal analytics, and complete compliance observability.
From Rule-Based Software
To Intelligent Systems.
Legacy enterprise software relies on rigid, hand-coded business rules that break the moment real-world conditions change. We engineer the "Sovereign Intelligence Layer"—where AI and Machine Learning are natively integrated into your core operational infrastructure. By connecting custom-trained models directly to your databases, ERPs, and proprietary data lakes, our systems continuously learn, adapt, and autonomously execute complex decision-making workflows with zero data leakage to third-party cloud providers.
Legacy Software
Static rule engines, manual data entry, and outsourced BPO teams that cannot learn, adapt, or scale. Every new edge case requires expensive developer intervention. Data is siloed, decisions are slow, and operational costs grow linearly with volume.
Sovereign AI & ML
Self-learning predictive models, private LLMs deployed inside your VPC, and intelligent document extraction pipelines that continuously improve with every data point. They integrate directly with your existing tech stack via secure REST APIs, process millions of records autonomously, and deliver sub-10ms inference latency at enterprise scale.
Intelligent Process Automation
Beyond Experimentation.
The AI experimentation phase is over. Our Enterprise Machine Learning Development focuses strictly on high-friction workflows to deliver tangible returns. We build Predictive Decision-Making Systems that take over expensive, error-prone tasks like end-to-end audit processing and dynamic supply chain rebalancing.
Less Manual Entry
OCR and NLP pipelines extract data from PDFs and invoices with higher accuracy than human typists.
Churn Reduction
Predictive models flag at-risk customers 30 days before they cancel, allowing for targeted retention.
Faster Triage
Custom LLMs instantly route and summarize incoming support tickets or complex legal documents.
Revenue Uplift
Personalized recommendation engines dynamically suggest the perfect upsell at checkout.
AI & ML Across Industries.
We don't build generic AI wrappers. We engineer vertical-specific machine learning architectures that deeply integrate into the unique operational workflows and compliance requirements of your industry.
Healthcare & Life Sciences
We deploy AI/ML solutions for healthcare that power secure diagnostic imaging analysis, automate clinical trial data extraction, and build secure clinical patient chatbots. Our computer vision models assist radiologists with anomaly detection, while our NLP pipelines extract structured data from unstructured medical records — all deployed inside sovereign VPC infrastructure with zero data leakage.
Financial Services & FinTech
Our machine learning models for financial services execute real-time credit risk scoring (Runwayfunds), automate unstructured financial document extraction (Oxane Partners), and power predictive deal-screening algorithms (Fundr). We build fraud detection pipelines, algorithmic underwriting engines, and LLM-powered financial chatbots that process sensitive PII under strict GDPR and enterprise data privacy standards.
Education & EdTech
We architect AI-driven personalized learning platforms (Qennex), smart campus analytics systems (Macmillan 360° Report), and intelligent document cognition engines for academic research institutions. Our ML models adapt curriculum difficulty in real-time based on student performance data, while our NLP systems automate grading and content summarization at scale.
Retail & E-Commerce
We build intelligent recommendation engines, dynamic pricing ML models, and visual search systems that transform retail operations. Our predictive analytics pipelines forecast inventory demand, optimize supply chain logistics, and power hyper-personalized shopping experiences. Each model is trained on your proprietary transaction data and deployed as a containerized microservice.
Logistics & Transportation
We deploy AI solutions for logistics that optimize route planning (Godide AI), predict demand fluctuations, and automate fleet management workflows. Our ML models process real-time GPS, weather, and traffic data to dynamically reroute shipments, reduce fuel costs, and predict maintenance schedules before breakdowns occur.
Enterprise SaaS & B2B
We embed intelligent AI copilots directly into B2B SaaS platforms, enabling end-users to query complex datasets using natural language. Our RAG-powered knowledge assistants, automated data pipeline orchestrators, and AI-driven analytics dashboards dramatically improve user retention and reduce support ticket volume by up to 60%.
Proof in Production.
We build end-to-end software platforms, not just scripts. Explore the visual layout and operational outcomes of our custom-engineered client systems.
Sleep Intelligence Platform
Architected a mobile-first wellness and sleep-tracking platform. It processes real-time biometric metrics using local model inference on the edge, outputting sleep score forecasts with high-fidelity analytics.
Successfully scaled to 10k+ active users under strict European data privacy guidelines.
Production AI & ML Systems.
Shipped & Running.
See exactly how our AI & Machine Learning pipelines solve massive enterprise problems by processing millions of data points, extracting intelligence from unstructured documents, and delivering predictive insights at scale.
Document Extractor AI
LLM-Powered Unstructured Data Processing
The Problem
Oxane Partners processed thousands of complex financial PDFs, fund reports, and investor documents manually. Each document required a trained analyst to extract specific data points — a process that was slow, expensive, and error-prone at scale.
The AI/ML Solution
We engineered a custom LLM-powered extraction engine that ingests raw unstructured PDFs, identifies and classifies document sections using NLP, extracts specific financial data points with 99.4% accuracy, and outputs clean structured data directly into their existing SQL databases. The entire pipeline runs inside their private VPC — zero data leaves their infrastructure.
Tech Stack
Eliminated 1,000+ hours of manual data entry per quarter with 99.4% extraction accuracy.
The Business Case for Kraftors AI & ML.
We understand that enterprise AI is a massive capital expenditure. Here is exactly how we mitigate risk, ensure technical integration, and deliver verifiable ROI.
For the CFO
Stop paying massive hourly consulting retainers with no guaranteed outcome. We operate on strict, milestone-driven delivery frameworks.
- Data Viability AuditWeek 1-2
- Predictive MVP BuildWeek 3-8
- Production MLOpsWeek 9-12
For the CTO
You do not need to rip and replace your existing legacy monoliths. Our ML models run as independent microservices.
Models are containerized via Docker and orchestrated via Kubernetes.
Exposed securely via FastAPI / REST endpoints to your existing frontend.
Cloud-agnostic deployment (AWS SageMaker, Azure ML, or On-Premise).
For the CISO
We assume your data is highly classified. We build strict governance pipelines to ensure legal compliance (GDPR and enterprise security standards).
PII tokenization and obfuscation before data hits the training layer.
Zero-Egress Custom LLMs (No data is sent to public OpenAI servers).
Role-Based Access Control (RBAC) enforced at the inference API level.
Predictable ROI. No Black Holes.
We reject the traditional "Time & Materials" consulting model that drains budgets without delivering software. We operate on strict, milestone-driven delivery frameworks.
Data Viability Audit
Before writing a single line of code, we analyze your corporate databases to ensure your data is actually clean and voluminous enough to train an accurate model.
- ✓ SQL/Data Lake schema review
- ✓ PII & Compliance risk assessment
- ✓ Hard ROI Projection Document
Production MVP Build
We deploy a dedicated pod of Machine Learning Architects to build, train, and integrate your model directly into your existing infrastructure.
- ✓ Custom Model Training (GPU)
- ✓ Dockerized microservice architecture
- ✓ Secure REST/FastAPI integration
Dedicated AI Pods
For Fortune 500s needing massive scale. We provide an ongoing, dedicated team to handle CI/CD, monitor model drift, and continuously deploy new AI features.
- ✓ 24/7 Model Observability
- ✓ Automated Retraining Pipelines
- ✓ Priority SLA & Support
What We Actually Build.
We don't sell abstract AI consulting. We engineer highly specific, deployable intelligent systems — each backed by working proof-of-concepts and production deployments across 6 core AI & ML disciplines.
We engineer sophisticated conversational AI systems that go far beyond simple FAQ bots. Our chatbots leverage private LLMs, RAG architectures, and multi-turn memory to handle complex enterprise interactions across WhatsApp, Facebook, Web, and Voice channels.
EvaChatBot
MyStartup CFOFinancial lead qualification AI agent
WhatsApp AI Chatbot
Internal R&DTwilio + OpenAI enterprise integration
Facebook AI Chatbot
Internal R&DMeta Developer API + LLM integration
Voice Chatbot
Internal R&DReal-time voice-to-text conversational AI
Medical Chatbot
Internal R&DSecure clinical query resolution engine
We Don't Just Talk AI.
We Ship It.
EvaChatBot
Engineered a highly sophisticated conversational AI agent capable of navigating complex financial data, reducing manual audit and qualifying 200+ leads/month.
Document Extractor AI
Built a customized AI model to autonomously extract, structure, and verify critical unstructured data points from vast volumes of financial PDFs with 99.4% accuracy.
Fundr
Developed a predictive AI infrastructure that assists in algorithmic deal screening, bringing quantitative rigor to early-stage venture capital workflows.
AI Education App
Architected an AI-driven personalized education platform that adapts curriculum difficulty dynamically based on real-time student performance metrics.
Godide AI
Designed predictive machine learning models that optimize route planning and dynamic ETA calculation for transportation networks across Africa.
Book PDF Extractor AI
Developed a document cognition microservice that parses complex book layouts, extracts tabular data, and generates semantic chunking for RAG pipelines.
Secure MLOps & Governance.
Deploying a Jupyter notebook is easy. Operating a secure, compliant Machine Learning pipeline that processes PII and financial data in real-time requires enterprise-grade MLOps.
PII Data Obfuscation
We implement strict ETL pipelines that scrub, hash, or tokenize Personally Identifiable Information (PII) before it ever touches a training dataset, ensuring compliance with GDPR and strict enterprise privacy standards.
Model Drift Monitoring
ML models degrade over time as real-world data changes. We deploy automated observability tools that track statistical drift and trigger CI/CD pipelines to retrain models before accuracy drops.
Secure Inference APIs
When models are deployed to production, we wrap them in highly secure, rate-limited FastAPI microservices. This protects your proprietary model weights from reverse engineering and adversarial extraction attacks.
The AI Delivery Framework.
We don't build in a black box. We accelerate enterprise deployments through our 12-week structured framework and proprietary pre-engineered software components.
Discovery
Data Viability Audit. We analyze schema volume and quality to ensure data is sufficient for model training.
Design
Model & Architecture Selection. Private VPC security planning and cloud topology mappings.
Prototype
Rapid POC Deployments. Training functional baseline models to validate algorithmic metrics.
Production
Inference Scaling. Microservice containerization (Docker/Kubernetes) and endpoint integrations.
Optimization
MLOps Orchestration. AWQ/GPTQ quantization, model drift telemetry, and automated retraining.
One AI Chat
A pre-engineered private LLM chat interface template. Connects securely to Pinecone/pgvector, bypassing conversational UI development to save up to 4 weeks of engineering time.
Kraft-Lens
A modular, low-latency visual detection framework. Optimized for real-time video feeds with pre-trained YOLO/ResNet wrapper hooks for custom annotation.
RAG Sync
Automated document OCR and chunking pipeline. Runs on cron-based schedules, autonomously parsing complex corporate files into structured vector databases.
The Deep Tech Powering Our Models.
We don't just use high-level APIs. We architect Custom AI systems and Machine Learning pipelines using the latest open-source and enterprise-grade infrastructure for complete Predictive & Generative AI.
Open-weight on-prem models
LLM orchestration framework
High-performance vector database
Retrieval-Augmented Generation
Reference Architecture.
We don't build black boxes. We architect transparent, Zero-Egress ML pipelines deployed directly into your existing cloud infrastructure (AWS/Azure/GCP).
Enterprise AI, Explained.
Deep-dive technical answers to the most critical questions enterprises ask when evaluating custom AI and Machine Learning development partners.
Artificial Intelligence (AI) is the broad discipline of building software systems that can perform tasks typically requiring human intelligence — such as understanding natural language, recognizing images, making decisions, and generating content. Machine Learning (ML) is a specific subset of AI where systems learn patterns directly from data rather than being explicitly programmed with rules. For example, a rule-based fraud detection system that checks 'if transaction > $10,000, flag it' is traditional software. A machine learning fraud detection system analyzes millions of historical transactions to independently discover complex fraud patterns that no human could manually code. At Kraftors, we engineer both — from custom-trained predictive ML models (XGBoost, Random Forest, Deep Neural Networks) to sophisticated AI systems like private LLMs, RAG architectures, and autonomous conversational agents. The key distinction for enterprise buyers: AI is the capability, ML is the technique, and we deliver both as production-grade, sovereign software that you fully own.
READY TO DEPLOY
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Briefing.
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