ML/AI Experts & Product Studio

We build production-ready ML/AI solutions — from strategy to deployment.

Our team brings deep expertise in Generative AI, agentic systems, and machine learning, with a strong track record delivering intelligent products across FinTech and enterprise environments.

We embed directly into your team or operate as a full product squad — bridging the gap between cutting-edge AI research and real-world business outcomes. From LLM-powered applications to scalable ML pipelines, we own delivery end to end.

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About Twinstory

Twinstory was born from a simple belief: the best AI products are built by people who understand both the technology and the business problem it needs to solve.

We work closely with our clients — as embedded partners, not vendors. Every engagement is a shared story, shaped by your goals and grounded in rigorous technical craft.

Our experience spans regulated industries where data quality, model fairness, and compliance are non-negotiable. We know how to build AI that is not only powerful, but trustworthy and auditable.

Whether you are starting your AI journey or scaling an existing system, we bring the judgment and execution to get it right.

Areas of Expertise

Generative AI

LLM strategy, prompt engineering, RAG systems, and product-ready AI applications for content generation and automation.

Agentic AI

Autonomous agents, multi-agent systems, tool-using AI, and intelligent automation for complex, real-world workflows.

Machine Learning

Predictive modeling, classification, regression, and production ML systems built for scale and reliability.

Deep Learning

Neural networks, computer vision, NLP, transformers, and custom architectures for complex, high-impact use cases.

Data Strategy & Leadership

Data architecture, governance, team building, and roadmaps for data-driven transformation with executive alignment.

MLOps & Deployment

Model deployment, monitoring, CI/CD for ML, containerization, and production-grade ML infrastructure.

Services

ML/AI Experts and Product Teams

From discovery to deployment, we provide embedded experts or full squads that deliver production-ready ML/AI solutions tailored to your business goals.

Our team blends strategy, model development, and product delivery, ensuring every solution is usable, measurable, and built to scale.

ML/AI Experts On Demand

Senior ML/AI engineers, data scientists, and technical leads embedded into your team to accelerate delivery.

End-to-End Product Delivery

From problem definition and data strategy to model deployment and UX-ready integrations.

MLOps and Productionization

Scalable pipelines, monitoring, and governance frameworks that keep models reliable in real-world environments.

ML/AI Product Incubation

We ideate, prototype, and launch ML/AI tools that deliver polished, user-friendly experiences.

Whether you need embedded experts or a full product build, we can help you leverage AI to create meaningful outcomes.

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Product

Toddler Art Magic Live Demo

Upload your child's doodle and we'll turn it into a bright, storybook-style picture while keeping their original idea and layout.

Vision Understanding

GPT-4.1 with vision analyses the uploaded drawing — extracting characters, layout, mood, and colors to guide the illustration.

Image Generation

gpt-image-1 produces a bright, storybook-style illustration that preserves the child's original concept and composition.

Safety Moderation

omni-moderation-latest checks both the drawing description and generated image — blocking any content that isn't safe for kids.

Fast API Backend

Built on FastAPI with Jinja2 templates, delivering a lightweight and responsive upload-and-preview experience.

FastAPI GPT-4.1 Vision gpt-image-1 OpenAI Moderation Jinja2 Docker

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CV Analysis & Assistant Live Demo

Upload candidate CVs and chat with an AI assistant that reads, extracts, and remembers candidate details across sessions — powered by multi-agent orchestration and persistent memory.

Agentic Orchestration

Multiple LLM agents coordinate tool calls for file conversion, filesystem access, and memory storage via MCP servers.

Persistent Memory

Extracted candidate facts are stored in a local SQLite database, enabling answers that build on accumulated data across sessions.

Document Ingestion

Converts PDF and DOCX CVs to readable text for downstream Q&A and candidate matching.

Conversational Q&A

Ask natural language questions about candidates — the assistant retrieves and synthesizes answers from ingested CVs and memory.

Streamlit OpenAI Agents SDK FastMCP SQLite RAG

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More Coming Soon

New ML/AI-powered experiences designed to simplify complex workflows and deliver clear outcomes.

Coming Soon

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