What We're Building
We design and deploy advanced AI tools and API services that use efficient private large language models and speech AI to deeply grasp the context and semantics of text and the nuances of spoken conversations. Our platform captures the gems in your interactions, enabling humans to learn from each other, identify areas for improvement, and make well-informed decisions.
Very few solutions achieve this without hallucination.
We’re laser focused on precision, delivering highly accurate, relevant results with domain-specific source attribution. We are first-to-market with vectorization of source attribution for LLMs. To accomplish this, we are simultaneously introducing scientific innovations and tackling cognitive science challenges posed by these AI models and customer use cases of this sophistication. For instance,
We're developing the next generation of objective-driven task agents that enhance work productivity by automating tasks across software stacks with utmost accuracy.
This unwavering focus distinctly positions us ahead of the prevalent generative AI assistive chatbots, AI conversation intelligence tools, AIwriters, prompt engines, and task agents in the market.
Team
Inteligems® Labs started in 2021 with a global team of PhDs, data scientists, engineers, designers, and customer success professionals. We work from Edinburgh, Los Angeles, Las Vegas, Mexico City, Kolkata, Warsaw and Cebu.
Our teams embrace elegant simplicity. We thrive on breaking down complex challenges into their simplest parts. We believe that the most impactful solutions are the simplest and most efficient ones.
Our team has founded over 20 successful technology companies in digital healthcare and fintech, and achieved several exits. While working in a hybrid format, our team has developed strong camaraderie. We’re football (soccer) nuts, outdoor enthusiasts and love to hike at our gatherings.
Geof Baker, MBA
Founder, Investor, CEO
2 M&A exits (Optum Health, IQVIA)
AVP, Cognizant, $120M P&L, Top account award
30 years, Digital Health Tech
Williams College, BA,
Wharton, MBA
Sanjay Rakshit, M.Sc., PMP
Co-Founder, Chief Product & Technology Officer
Martin Currie, NCR FSG Ltd.
Singula Decisions, HCL Technologies
Multiple Series A raises and exits
20 years, Fintech
University of Edinburgh, M.Sc., Artificial Intelligence,
M.Sc.,Speech and Language Processing
Advisors & Investors
Simon King, PhD
Advisor
Professor, Speech Processing
Google Scholar
Centre for Speech Technology Research, University of Edinburgh
Purvi Gandhi
Advisor
CFO Advisor, Early Stage
Quain Investments, LLC
Fintech, Venture Capital
25 years CFO, M&A
UC Berkeley
Lise Hewitt
Investor
General Partner, Family Office
Inteligems Holdings
Social Good
Our team strives to make a positive difference locally and globally. We care deeply about our environment and we’re committed to reducing our carbon footprint.
Our AI compression techniques reduce energy consumption by up to 30% in data centers. We aim to be carbon neutral by 2025 and track our energy consumption to offset our carbon footprint by planting trees through Arbor Day Foundation (US), Woodland Trust (UK), and Eden Reforestation (global).
We offer our customers the option to offset 100% of their carbon footprint from our AI offerings, with a simple and transparent process. We dedicate 1% of our gross revenue to carbon offsets. contributing to a good cause.
Arbor Day Foundation has the ambitious goal to plant 500 million trees by 2027. Planting and growing trees is one of most effective natural solutions to combat the impact of changing world.
The Woodland Trust plants, restores, and protects UK woodlands, creating habitats for wildlife, combating climate change, and enhancing public well-being, with a positive impact on biodiversity, carbon sequestration, and community engagement.
Eden Reforestation employs local villagers to plant millions of trees, restoring habitats, combating climate change, and lifting communities out of poverty, with a positive impact on biodiversity, carbon sequestration, and economic empowerment.