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Transform Ideas into Reality with Expert AI & ML Prototyping

DSI brings you deployable and scalable PoCs - from Computer Vision to Natural Language Processing Applications we've got you covered

ai_agent_poc.py
# Import dependencies from langchain_anthropic import ChatAnthropic from langchain_core.messages import HumanMessage from langgraph.checkpoint.memory import MemorySaver # Create the agent memory = MemorySaver() model = ChatAnthropic(model_name="claude-3-sonnet") tools = [TavilySearchResults(max_results=2)] agent_executor = create_react_agent(model, tools, memory)
Solutions

Everything You Need for AI deployment

Built for enterprises who need agile and practical solutions.

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Natural Language Processing

Build simple chatbots, sentiment analysis, text classification and summarising tools.

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Computer Vision

Deploy custom image and video processing applications.

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Machine-Learning

Build prediction and pattern recognition models.

🧠

Deep-Learning

Design and train Neural Networks for specific applications.

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Data Analytics

Unleash the power of your data using descriptive analytics.

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UI/UX Design

Turn ideas into beautiful and functional apps.

For Organisations

Designed for Oraganisations that want to prototype with AI & ML

πŸš€ Deploy at Speed

Get PoCs up and running with DSI in weeks - not months.

πŸ“ˆ Time & Cost-Efficient

Our flexible solutions allows you to test and validate your ideas quickly.

πŸ“š Get access to Talent

Our team of experts can work with you on a range of AI, ML and data applications.

Start Building Prototypes to help you Scale

We offer flexible projects that adapt to your time and needs

Lite

Duration: 1-2 Weeks

Typical applications:

  • Chatbots, text analysis

Medium

Duration: 3-4 Weeks

Typical applications:

  • AI agents, Predictive ML, computer vision tools

Large

Duration: 5-6 Weeks

Typical applications:

  • Integrated AI, fine-tuning, simple apps
For Students

Get involved and build an impressive curriculum

🌎 Solve Real-World Problems

No better way to put your skills at work.

πŸ›οΈ Engage with Industry

Build your experience and curriculum by working with top organisations.

πŸ€— Be part of a great community

Learn from each other and let's solve big problems together.

About

Let's work together

We specialise in turning your AI & ML concepts into functional, tangible proof of concepts to help your organisation deploy cutting-edge solutions.Our services are tailored to meet your unique business needs, whether you’re just starting your AI journey or refining a specific idea.


Our team of experts have a wealth of experience in the field, and are dedicated to helping you achive your AI & ML business goals. We work with a range of industries, from healthcare to finance, and are passionate about helping businesses grow. Whether you’re looking for consultancy to build your in-house capabilities or a bespoke proof of concept crafted by experts, we help you move from vision to execution.

abe

Abe Mauleon

Abe is a seasoned AI expert with over 6 years of experience in the field. He has worked with a variety of industries, from healthcare to finance, and is passionate about helping businesses unlock their potential using AI.


aj

Ayush Joshi

Ayush has over a decade in computer science experience, and is an academic leader with a focus on data science, AI & ML. He has a strong technical background and is skilled in developing cutting-edge AI solutions.


stuart

Stuart Harrison

With over 25 years of computing industry experience - including 10 years at Oracle - Stuart has helped a number of software providers deliver best value solutions and quality after sales service to their customers across government, not for profit and commercial organisations.


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classifier.py
# Import dependencies import numpy as np from sklearn.datasets import make_blobs from sklearn.model_selection import train_test_split # Prepare data for model training N_samples = 5000 centres = [(-5, -5), (0, 0), (5, 5)] X, y = make_blobs(N_samples, centres, random_state = 24)