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Generative ai

a platform for tomorrow’s innovations

We’ve been building custom generative AI applications for years. We help our clients push the boundaries of what’s possible through agile software development and ambitious data science.

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We build AI that helps companies like these move faster, leaner and smarter

we’ve been doing this since before it was cool

AI & ML have been a central focus for us since we launched in 2015. That experience allows us to swiftly and ethically leverage deep learning and cloud computing to uncover actionable insights within your data.

advantages, everywhere you look

database conversations

Engage with your database using conversational language, eliminating the need for complex SQL commands.

Advanced chatbots

AI-driven bots with CV, OCR, and multi-database capabilities, designed for efficient information aggregation and retrieval.

Efficient workflows

Enhance workflow efficiency with a knowledge base-driven co-pilot that simplifies task management.

Tailored Content

Generate specialized content that caters to industry-specific needs, leveraging a broad array of diverse information sources for tailored output.

streamlined creativity

Foster artistic innovation with the ability to create distinctive, rule-based generative artwork that pushes the boundaries of creativity.

some of our fav ai projects

Biocentury
Biocentury

Biocentury

synopsis

We used large language models (LLMs) to create APIs that extract rich information from raw texts in diverse domains, such as biochemistry, medicine, customer support, marketing, and advertisement.

Our system achieved state-of-the-art results in Named Entity Recognition (NER), transforming complex and dense documents into organized and actionable data points. This groundbreaking approach not only streamlined the extraction process but also drastically reduced the manual effort traditionally needed for reviewing such specialized documents.

Recharge
Recharge

Recharge

synopsis

We built Electric SMS to automate subscription management. It was insanely successful and acquired by Recharge SMS.

220,000 users manage their subscriptions and over $25M in revenue is being processed for 56 merchants.

We developed a similarity-based retrieval system using Transformer embeddings and clustering algorithms to understand customer support messages, enhancing the experience for 8M+ customers and reducing customer support costs for 1000+ stores.

smartsuite
smartsuite

smartsuite

synopsis

SmartSuite is a collaborative Work Management platform enabling teams to plan, track, and manage workflow.

Our team developed a multi-functional Al writing assistant and automated schema generation, both powered by OpenAl. Additionally, we created an Al assistant that interprets natural language queries to visualize user content.

Seanceai
Seanceai

Seanceai

synopsis

Seance AI is an innovative app that combines artificial intelligence (AI) technology with immersive storytelling to create a captivating and interactive experience centered around seances and the supernatural. It offers users a unique opportunity to engage with a simulated virtual environment where they can participate in fictionalized seances, communicate with fictional spirits, and explore the mysteries of the spirit world.

paper

we’ve had some popular ideas on Ai

Our paper “Ignore Previous Prompt: Attack Techniques For Language Models” was awarded the AI Safety Analysis Award, as well as ranked in the top ten papers of the NeurIPS ML Safety Workshop.

We only work with the best

Our data scientists are efficient, collaborative, and come from places like these:

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Ed

Ed

HEAD OF DATA SCIENCE

Data scientist with more than 20 years of experience using statistics and machine learning to analyze datasets in physics, finance, and online petitions. B. Magna Cum Laude in Chemistry & Physics from Harvard College and PhD from Cal Tech in Experimental High Energy Particle Physics.

Francisco

Francisco

SENIOR DATA SCIENTIST

Senior data scientist with a passion for developing creative solutions to complex problems. Over the past 7+ years, he has demonstrated this by utilizing supercomputers to solve partial differential equations during his PhD at Princeton, as well as spearheading the integration of machine learning into a health-tech startup, starting from the ground up and reaching millions of users.

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