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i69 Technologies

We design and engineer intelligent digital platforms, custom software and scalable technology architectures.

LET'S TALKcontact@i69-technologies.com

EXPERTISE

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  • Software Architecture
  • Technology Consulting
  • UI/UX Design

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HAVE A PROJECT?

Let’s build your next digital platform.

Tell us about your product, platform or technology challenge.

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AI ENGINEERING

BUILD INTELLIGENT
SYSTEMS INTO
REAL-WORLD
PRODUCTS

We design and integrate AI systems that connect models, data, APIs and production infrastructure to build intelligent digital platforms.

EXPLORE OUR CAPABILITIESDISCUSS YOUR PROJECT
AI CAPABILITIES
  • Generative AI & LLM
  • Machine Learning
  • Deep Learning
  • NLP & Semantic Search
  • Computer Vision
  • Intelligent Automation
WHAT WE ENGINEER

AI CAPABILITIES FOR
INTELLIGENT DIGITAL PRODUCTS

GENERATIVE AI & LLM

Assistants, content generation, augmented reasoning and integration of language models into applications.

MACHINE LEARNING

Predictive models, classification, scoring, recommendation and data-driven automation.

DEEP LEARNING

Neural networks for vision, language, recognition and advanced representation learning.

NLP & SEMANTIC SEARCH

Language understanding, intelligent search, embeddings, RAG and automated document processing.

COMPUTER VISION

Image analysis, classification, detection and extraction of structured information from visual data.

INTELLIGENT AUTOMATION

AI-powered workflows, model orchestration, tools and automation integrated with business systems.

AI ENGINEERING

FROM MODEL TO
PRODUCTION

01

DATA & PIPELINES

Preparation, ingestion, transformation and structuring of data required by AI systems.

02

MODELS & EXPERIMENTATION

Model selection, training, evaluation and iteration according to product objectives.

03

AI INTEGRATION

APIs, backend services, RAG, agents and model integration into applications and workflows.

04

MLOPS & DEPLOYMENT

Containerization, CI/CD, versioning, deployment and industrialization of AI workloads.

05

OBSERVABILITY

Monitoring services, performance, costs, quality, failures and model behavior.

AI TECHNOLOGIES

A MODERN STACK FOR
PRODUCTION AI

Deep Learning

Training, optimization and inference for modern neural models and production AI workloads.

  • Deep neural networks
  • Computer vision
  • Generative models
  • Accelerated inference
PyTorchHugging FaceCUDAONNXDeepSpeedvLLM
AI ARCHITECTURE

AI AS A COMPONENT OF
A COMPLETE PLATFORM

APPLICATION

Web · Mobile · SaaS

→

API & BACKEND

Services · Auth · Business Logic

→

AI LAYER

LLM · ML · RAG · Vision

→

DATA

SQL · Vector DB · Object Storage

→

INFRASTRUCTURE

Cloud · Docker · Kubernetes

USE CASES

AI SYSTEMS CONNECTED
TO BUSINESS NEEDS

INTELLIGENT ASSISTANTS

Conversational interfaces connected to platform data, APIs and operational services.

ENTERPRISE RAG

Semantic retrieval over documents, knowledge bases and business information.

INTELLIGENT AUTOMATION

Automated analysis, classification and execution of repetitive workflows.

PREDICTION & RECOMMENDATION

Data-driven systems for forecasting, scoring, ranking and personalization.

ENGINEERING PRINCIPLES

AI DESIGNED FOR
PRODUCTION CONSTRAINTS

01

Security & Privacy

02

Observability

03

Scalability

04

Human Oversight

05

Cost Control

06

Model Portability

BUILD WITH AI

HAVE A PRODUCT,
PLATFORM OR
AI CHALLENGE?

We can support your project from architecture and prototyping to integration, deployment and production operations.

START A CONVERSATION