Build cutting-edge AI in the AWS Cloud with Tribe AI.
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Unleash your business potential with AI solutions on AWS Cloud
Tribe builds AI on AWS with real-world impact
Automating pricing for a PE-owned insurance MGA
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Building ML ops platform for public medical device company
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Accelerating time to market for OpenAI-backed startup
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Building automation roadmap for publishing startup using GPT
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Advising PE firm on where to roll out GPT across portfolio
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Increasing accuracy of core NLP model for compliance startup
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Automating categorization of transactions for fintech co
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Automating growth stage security startups’ diligence process
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Defining technical approach for AI-driven fertility startup
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Prioritizing investments for leading PE firm using custom ML toolkit
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Predicting wildfire risk for reinsurance startup using ML
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Advanced AI solutions built on AWS
SageMaker
With us, you get to harness the power of SageMaker's fully-managed environments that support PyTorch, TensorFlow, and other popular ML frameworks. We tailor SageMaker's built-in algorithms and model tuning to your unique needs, facilitating faster training times and superior prediction capabilities.
From data wrangling with SageMaker Data Wrangler to experimentation management with SageMaker Studio, our team optimizes every feature of this AWS service to bring about operational efficiency and data-driven decision making in your organization. With Cloud Intelligence, elevate your AI strategy with SageMaker, and let us guide you in creating an intelligent future for your business
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Comprehend
Our seasoned team integrates Comprehend into your operations to automatically extract information about entities, key phrases, language, sentiments, and more from your data. From customer feedback and social media posts to extensive documents, we help you unlock the potential hidden in unstructured text.
By pairing AWS Comprehend with your business strategy, we enable your organization to understand customer sentiments, monitor brand perception, streamline customer support, and even automate compliance surveillance. With Cloud Intelligence, ride the wave of AI-driven language understanding, and uncover valuable insights that propel your business towards a more intelligent and data-driven future.
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Rekognition
Our team of experts integrates Rekognition into your operations, enabling your systems to identify objects, people, text, scenes, and activities, as well as detect any inappropriate content in images and videos. We implement Rekognition's facial analysis and facial recognition features to enhance security measures, customer engagement, and user verification processes.
From automating content moderation to providing valuable customer insights through demographic data, Cloud Intelligence ensures that you harness the full potential of Rekognition's capabilities. Join us at Cloud Intelligence to embark on an AI-led visual transformation journey, and let us help you see your business through a new lens.
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Generative AI Blueprint
In week two of the Blueprint, we bring your generative use case to life. In this phase, we do rapid prototyping to build an MVP tailored to your identified use-case. Our team will test various Large Language Models (LLMs) to pinpoint the one that delivers optimal results for your specific needs.
We believe in a data-driven approach, and thus, in week three we continuously evaluate and measure the performance of your product to guarantee it meets established benchmarks and success criteria. Based on the results, we'll fine-tune the models and the prompts to optimize the outputs.
In the final week of the engagement our team will develop a comprehensive implementation plan, outlining the necessary steps to seamlessly transition your MVP into a full-scale production solution. We consider factors such as scalability, maintainability, and integration with existing systems, ensuring a smooth and efficient deployment.
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Worked at Google Brain, Gretel AI
OpenAI Fellow
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AI and research at Meta,
Allen AI, and Palantir
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Worked for Nasa, Google,
Stanford, Wayfair
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Director of Data Science at Appen,
Researcher at Toyota
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ML at Google
Early engineer at Amazon Data
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ML Producer at Uber and Groupon,
HCI at Stanford
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Researcher at University of Edinburgh
Product at Google
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Engineering at Surge AI, Twitter
Harvard CS degree
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Deep Learning Scientist at Ravel Biotech
Researcher at Harvard Medical School
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Data Scientist at IBM and AWS,
Faculty at Carnegie Mellon
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First employee at Weights & Biases,
Worked at Google
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Worked for Google Brain
and Facebook AI Research
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CTO at Togal
ML at Adblock
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Software Engineering at Google
Linguistics at UCLA
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VP of Eng at Carta
Head of Eng at Nova
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Data at Google
Launched Apple card at Apple
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AI Research at Amazon
PhD Cognitive Neuroscience, Published 50+ papers
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Engineer at Cityblock Health
Sr Engineer Flatiron Health
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Led ML at ClearBrain , Amplitude
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ML at Amazon, Microsoft,
ASAPP, Infinitus
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Engineer at RBC
ML scientist at Arterys medical
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Worked at Asana, Wikimedia, CertiK
1st DS hire at Deserve
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PhD from Cambridge University
Worked on NLP at Amazon Alexa
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ML Engineer at Meta
Co-founder Habiter (YC S20)
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Industry expertise
Tribe members have years of experience building and deploying real-world AI solutions at scale and across industries. Our network has deep expertise in finance, healthcare, insurance, private equity, ecommerce and more.
Bespoke teams
Tribe provides comprehensive teams to own the end-to-end AI lifecycle. Our teams encompass a diverse set of data expertise including design, research, development, product and infrastructure. Our full stack team approach allows us to design, build, and deploy custom AI solutions at scale.
Speed
Speed to market is a huge advantage and doubly so in AI. We staff teams in days not months to help innovative companies play to win.
Security
Our team has extensive experience in data privacy and security compliance, ensuring that your data remains secure and confidential. We provide secure storage of sensitive data through a combination of encryption, access control, and secure protocols.
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Learn how Tribe leveraged AWS to build and deploy computer vision that automates the estimation process in construction
Take the estimation – or “takeoff” – process as it’s called in the industry. First, the architect and developer comes up with the design. Then they give those blueprints to the general contractor who has to measure the area and perimeter of each room to calculate a bid. Then the contractor ...