Our Services
AI & Automation
We build practical AI products, from LLM copilots to predictive models, that ship into production and keep working after launch.
Flexible Engagements
IP Fully Yours
Weekly Sprint Demos
30+
AI Products Shipped
10+
Years in Applied AI
100%
Client Satisfaction
35+
Expert Engineers
We are a team of engineers and applied ML practitioners who build AI features that solve business problems.
From LLM-powered copilots to predictive models trained on your own data, we design AI systems that integrate cleanly into your existing product and keep performing after launch. See our industries page for how this plays out across different sectors.
LLM Integrations
Computer Vision
Predictive Analytics
Conversational AI
Document Intelligence
Recommendation Engines
What We Offer
AI & automation services
LLM Integration & Custom Copilots
Domain-specific copilots and chat interfaces built on GPT, Claude, or open-source models, grounded in your own data.
Retrieval-Augmented Generation (RAG)
Vector search and RAG pipelines that let AI answer accurately from your documents, knowledge base, or codebase.
Computer Vision
Object detection, OCR, and image classification models for inspection, automation, and content moderation.
Predictive Analytics & Forecasting
ML models that forecast demand, churn, and risk, trained on your historical data and continuously retrained.
Document Intelligence
Automated extraction and classification of data from invoices, contracts, and forms at scale.
MLOps & Model Deployment
Production-grade model serving, monitoring, and retraining pipelines so your models stay accurate over time.
Our AI delivery process
We validate feasibility before committing to a full build, then ship in increments so you see working AI early.
Let's Discuss
01
Data & Feasibility Audit
Result
a clear view of what AI can realistically deliver for your data
02
Model Selection & Prototyping
Result
a working proof of concept validated against your data
03
Production Build & Integration
Result
a production-ready model integrated into your product
04
Monitoring & Retraining
Result
an ongoing pipeline that keeps accuracy high as data evolves
Who We Build For
Clients we work with
Startups & Founders
MVP
Fundraising
Speed to Market
Scale-Ups
Growth Engineering
Infrastructure
Team Augmentation
Enterprises
Modernization
Compliance
Integration
VC-Backed Ventures
MVP
Scale
Launch
Agencies & Studios
White-Label
Overflow Work
Design Systems
SaaS Founders
Multi-Tenancy
Billing
Onboarding
Proven Results
AI projects we've built
FinTech
AI Credit Risk Scoring Engine
ML-driven underwriting model that scores loan applications in real time, trained on 5 years of repayment data.
35%
Reduction in Default Rate
HealthTech
Clinical Document Intelligence
OCR and NLP pipeline that extracts structured data from clinical notes, cutting manual data entry dramatically.
80%
Reduction in Manual Entry
EdTech
Adaptive Learning Recommender
Recommendation engine that personalises learning paths in real time based on student performance signals.
2.1×
Improvement in Completion Rate
Technology Stack
Built With the Right Stack
Models & Frameworks
GPT-4
Claude
PyTorch
TensorFlow
Hugging Face
RAG & Retrieval
LangChain
LlamaIndex
Pinecone
Weaviate
pgvector
Backend & APIs
Python
FastAPI
Node.js
GraphQL
REST
Cloud & Infra
AWS SageMaker
Azure ML
GCP Vertex AI
Docker
Kubernetes
MLOps & Monitoring
MLflow
Weights & Biases
Airflow
Datadog
CI/CD
Client Stories
What Our Clients Say
"Working with Anand at Gcube Info has been an outstanding experience from start to finish. His expertise is clear in every aspect of his work. He consistently delivers high-quality results with great attention to detail."
JR
Joel R.
Israel · Ezlease, AI-Powered SaaS
"Gcube Info integrated into our team as dedicated full-stack developers. Strong in TypeScript, NestJS microservices, Angular, React, and Azure. Adapted perfectly to our AI-first workflow."
JL
Joel L.
Germany · Dedicated Team Augmentation
"Building our compliance-first, multi-tenant SaaS platform, the Gcube Info team's expertise in Angular 21, tenant isolation, GDPR, and scalable reporting has been crucial for our product."
DR
Daniel R.
Switzerland · Multi-Tenant Enterprise SaaS
Ideally yes. The more relevant historical data you have, the better the model. If you don't have enough, we can start with pre-trained models and fine-tune as data accumulates.
Yes. We design AI features as APIs and services that plug into your existing frontend and backend rather than requiring a rebuild.
Most AI engagements run 10-16 weeks depending on data readiness and model complexity, with a working prototype deliverable within 4-6 weeks.
We design pipelines with encryption, access controls, and on-premise or VPC-isolated model hosting where required, so your data never leaves your control.
Every engagement includes a monitoring and retraining plan, since AI models can drift over time as data changes.