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Service · Intelligent Systems

AI & Machine
Learning

We design, train, and deploy production-grade AI models tailored to your industry. From LLM integration and NLP pipelines to computer vision and real-time prediction engines — we turn raw data into competitive advantage.

99.99%Model Uptime
6.8×Avg. Efficiency Gain
Intelligent Systems
AI
What We Build

Full-spectrum AI capabilities.

01

Custom Model Training

Fine-tuning foundation models on your proprietary data for domain-specific accuracy, from healthcare diagnostics to financial forecasting.

02

LLM Integration

Production-grade integration of GPT-4, Claude, Gemini, and Llama into your existing products, with prompt engineering, evaluation, and guardrails.

03

Computer Vision

Object detection, image segmentation, OCR, and real-time video analytics pipelines for industrial, retail, and healthcare applications.

04

NLP Pipelines

Named entity recognition, sentiment analysis, document classification, and multi-lingual processing at scale using transformer architectures.

05

RAG & Vector Systems

Retrieval-augmented generation pipelines with Pinecone, Weaviate, and pgvector — semantic search over millions of documents with sub-100ms latency.

06

MLOps & Monitoring

Model versioning, A/B testing infrastructure, drift detection, and automated retraining pipelines to keep your models accurate over time.

How We Deliver

Our AI delivery process.

01

Discovery & Data Audit

We audit your existing data assets, label quality, infrastructure readiness, and define success metrics and baseline benchmarks.

Week 1–2
02

Architecture & Model Selection

We select the right model architecture, evaluate open-source vs. proprietary options, and design the inference and training pipeline.

Week 2–3
03

Training & Evaluation

Iterative fine-tuning with human evaluation, RLHF where applicable, safety filtering, and rigorous benchmarking against industry standards.

Week 3–8
04

Production Deployment

Containerized deployment on GPU infrastructure, auto-scaling, latency optimization, and full observability with Datadog and OpenTelemetry.

Week 6–10
05

Ongoing Monitoring & Retraining

Continuous drift monitoring, scheduled retraining triggers, model governance reporting, and SLA-backed uptime guarantees.

Ongoing
Technologies

The AI stack we master.

PyTorch
TensorFlow
LangChain
LlamaIndex
OpenAI API
Anthropic Claude
Hugging Face
MLflow
Pinecone
Weaviate
NVIDIA CUDA
Ray / Ray Serve
Use Cases

Industries we've transformed.

01 / Fintech

Real-Time Fraud Detection

Built a streaming fraud detection engine processing 2M+ transactions/sec with 99.3% precision for a global neobank, reducing losses by 94% in 90 days.

02 / Healthcare

Medical Imaging AI

Deployed a radiology AI assistant achieving 96.8% accuracy on chest X-ray anomaly detection across 8,000 hospitals, reducing radiologist review time by 60%.

03 / E-Commerce

Personalization Engine

Trained a multi-modal recommendation system that lifted conversion rate by 38% and average order value by 22% for a top-10 global retailer.

04 / Logistics

Predictive Route Optimization

Built a reinforcement learning-based route optimizer for 140,000-vehicle fleet, reducing fuel consumption by 18% and on-time delivery rate to 97.6%.

FAQ

Common questions.

Most projects range from 8–16 weeks depending on data readiness, model complexity, and integration scope. RAG/chatbot projects typically ship in 6–8 weeks. Custom model training from scratch can take 12–20 weeks.
Not necessarily. We can start with a data audit and labeling sprint, leverage synthetic data augmentation, or use few-shot learning approaches. We'll advise the best strategy during our free technical assessment.
Yes. We deploy models as REST APIs, gRPC endpoints, or embedded SDKs. We have deep integration experience with Salesforce, SAP, AWS, GCP, Azure, and most modern SaaS platforms.
We offer ongoing MLOps retainer plans that include drift monitoring, scheduled retraining, performance reporting, and SLA-backed availability. Most clients retain us for 6–18 months post-launch.

Ready to build your AI advantage?

Book a free 45-min technical session. We'll map your AI opportunity.