ServicesLive systems

AI & Machine Learning

Build intelligent systems that learn, adapt, and deliver measurable results.

  • Generative AI
  • MLOps
  • Enterprise-ready
Delivery

How we deliver

From document intelligence and generative AI to vision, voice, and governed MLOps, we design production systems with human-in-the-loop controls, enterprise security, and audit trails — so models ship, stay monitored, and keep creating value after go-live.

01

Document Intelligence

Extract, classify, and route documents with bilingual models and human-in-the-loop review for audit-ready accuracy.

02

Predictive Operations

Forecast demand, risk, and capacity so teams act before bottlenecks appear.

03

ML Pipelines

Production-grade training, evaluation, and deployment pipelines with monitoring and versioning.

04

Conversational Assistants

Domain-tuned assistants that answer, triage, and escalate with clear guardrails.

05

Model Governance

Access controls, evaluation logs, and policy checks that meet enterprise security standards.

06

Computer Vision

Detect, classify, and track objects in images and video — from quality inspection to secure site monitoring.

07

NLP & Text Analytics

Turn unstructured text into searchable insight: sentiment, topics, entities, and compliance flags.

08

Recommendation Systems

Personalize offers, content, and next-best actions with models tuned to your catalog and constraints.

09

Anomaly Detection

Surface unusual patterns in transactions, telemetry, and ops data before they become incidents.

10

Speech & Voice AI

Transcription, voice bots, and spoken-language interfaces built for real contact-center noise and accents.

11

Generative AI Solutions

Secure GenAI for drafting, summarization, and knowledge work — with grounding, filters, and usage controls.

12

RAG Knowledge Systems

Retrieval-augmented answers over your policies, manuals, and records — cited, permission-aware, and current.

13

AI Agents & Workflows

Multi-step agents that research, decide, and act across tools — with approvals where risk is high.

14

MLOps & Model Monitoring

Drift detection, performance dashboards, and rollback paths so live models stay healthy in production.

15

Data Labeling & Annotation

High-quality labeled datasets and review loops that make supervised models trustworthy from day one.

16

AI Strategy & Roadmap

Prioritize use cases, estimate value, and sequence pilots into a board-ready AI roadmap.

17

Responsible AI Review

Bias checks, safety evaluations, and documentation so deployments stay ethical and defensible.

18

Custom Model Training

Fine-tune or train domain models on your data — optimized for accuracy, latency, and cost.

19

Edge AI Deployment

Run inference on-device or at the edge for low latency, offline resilience, and data locality.

20

AI Integration

Connect models into ERP, CRM, portals, and ops tools so AI shows up where work already happens.

Technology

What we build with

Proven tools and platforms we use to design, ship, and operate this capability in production.

  • Python
  • PyTorch
  • TensorFlow
  • scikit-learn
  • Hugging Face
  • OpenAI / Azure OpenAI
  • LangChain
  • LlamaIndex
  • MLflow
  • Kubeflow
  • NVIDIA CUDA
  • OpenCV
  • spaCy
  • FastAPI
  • Jupyter
  • Weights & Biases
  • Pinecone / FAISS / pgvector
  • Docker

Global technology. Built to scale.

Request a proposal for software, AI, cybersecurity, cloud, data, or infrastructure delivery.

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