Join forces with Tribe’s experts to craft unique AI products in weeks, not months.
Move from concept to reality by partnering with Tribe to ship a generative AI MVP fast.
Together, we’ll identify your most promising generative AI opportunities, explore which Large Language Model (LLM) best meets your needs, create a working version, optimize prompts for better results, and craft a detailed plan for transitioning it to a full-scale solution for your business.
In this initial phase, we dive into your business landscape and engage with key stakeholders from your team to grasp your goals, needs, and the existing technical ecosystem. Through a blend of meticulous planning and insightful evaluations, we lay down a solid foundation, sketching a high-level technical design to navigate towards a tailored generative AI solution.
Transitioning from insights to action, we select an optimal foundation model, swiftly evolving to a rapid prototyping stage where your AI product takes form. We enable immediate testing and feedback, taking a data-driven approach to refine and move closer to a product tailored to your business’ aspirations.
Taking the approach of “test, refine, and repeat,” we nurture a feedback-rich cycle to understand product’s hits and misses. Through constant iteration based on user input and performance metrics alongside strategic model testing, we refine the tool to better align with both user experience and your business objectives, ensuring a step closer to a generative AI product for real-world demands.
In this final phase, we showcase the working MVP, highlighting its capabilities and potential business impact. We show a detailed evaluation of its performance and reception with users. Drawing on this feedback, we craft a product plan for a broader rollout to integrate and scale your new generative AI tool within your business.
Worked at Google Brain, Gretel AI
OpenAI Fellow
AI and research at Meta,
Allen AI, and Palantir
Worked for Nasa, Google,
Stanford, Wayfair
Director of Data Science at Appen,
Researcher at Toyota
ML at Google
Early engineer at Amazon Data
ML Producer at Uber and Groupon,
HCI at Stanford
Researcher at University of Edinburgh
Product at Google
Engineering at Surge AI, Twitter
Harvard CS degree
Deep Learning Scientist at Ravel Biotech
Researcher at Harvard Medical School
Data Scientist at IBM and AWS,
Faculty at Carnegie Mellon
First employee at Weights & Biases,
Worked at Google
Worked for Google Brain
and Facebook AI Research
CTO at Togal
ML at Adblock
Software Engineering at Google
Linguistics at UCLA
VP of Eng at Carta
Head of Eng at Nova
Data at Google
Launched Apple card at Apple
AI Research at Amazon
PhD Cognitive Neuroscience, Published 50+ papers
Engineer at Cityblock Health
Sr Engineer Flatiron Health
Led ML at ClearBrain , Amplitude
ML at Amazon, Microsoft,
ASAPP, Infinitus
Engineer at RBC
ML scientist at Arterys medical
Worked at Asana, Wikimedia, CertiK
1st DS hire at Deserve
PhD from Cambridge University
Worked on NLP at Amazon Alexa
ML Engineer at Meta
Co-founder Habiter (YC S20)
Top AI talent
Tribe has a network of 300+ leading AI practitioners from companies like OpenAI, Google, and Meta, by leveraging fractional work models that make it easy for top talent to build for you.
Proprietary AI tooling
Our bespoke staffing tool and extensive data enable us to staff technical dream teams in hours instead of weeks. Combined with our steadily growing pool of talent, this let us support companies as they evolve across their AI lifecycle.
Industry expertise
Tribe members have years of experience building and deploying real-world AI tools at scale across industries. Our network has deep expertise in nearly every major industry, including finance, healthcare, energy, insurance, supply chain, ecommerce and more.
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.
Accelerate your generative AI transformation
Every company can be an AI company with the call of an API.