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Join forces with Tribe’s experts to craft unique AI products in weeks, not months.

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Your Generative AI Accelerator

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.

1
Phase 1
Discover + Scope

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.

2
Phase 2
Rapidly Prototype

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.

3
Phase 3
Iterate + Optimize

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.

4
Phase 4
Evaluate + Plan

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.

Powered by the top talent in AI
AI Researcher
Andrew C.
previously:

Worked at Google Brain, Gretel AI

OpenAI Fellow

LLMs, NLP, Transformers
LLMs
NLP
Transformers
AI Researcher
Jeff
previously:

AI and research at Meta,
Allen AI, and Palantir

CV, NLP, ML Engineer
CV
NLP
ML Engineer
Data Scientist
Michele
previously:

Worked for Nasa, Google,
Stanford, Wayfair

Text classification, Demand forecasting
Text classification
Demand forecasting
Principal ML Engineer
Rahul
previously:

Director of Data Science at Appen,

Researcher at Toyota

Infrastructure, Data Science, ML Ops
Infrastructure
Data Science
ML Ops
ML Engineer
Timothy
previously:

ML at Google

Early engineer at Amazon Data

Data eng, NLP, Supply chain
Data eng
NLP
Supply chain
ML Product Manager
Saguna
previously:

ML Producer at Uber and Groupon,

HCI at Stanford

Product Management, Language Interfaces, Algorithmic Pricing
Product Management
Language Interfaces
Algorithmic Pricing
Research Engineer
Seraphina
previously:

Researcher at University of Edinburgh

Product at Google

AI Fairness, Interpretability, NLP
AI Fairness
Interpretability
NLP
ML engineer
Andrew
previously:

Engineering at Surge AI, Twitter

Harvard CS degree

Large Language Models, NLP, Humans-In-The-Loop
Large Language Models
NLP
Humans-In-The-Loop
ML Engineer
Erik
previously:

Deep Learning Scientist at Ravel Biotech

Researcher at Harvard Medical School

LLMs, Genomics, Reinforcement learning
LLMs
Genomics
Reinforcement learning
NLP Researcher
Prem
previously:

Data Scientist at IBM and AWS,

Faculty at Carnegie Mellon

Large Language Models, NLP, Infrastructure
Large Language Models
NLP
Infrastructure
Senior ML Engineer
Adrian
previously:

First employee at Weights & Biases,

Worked at Google

Data Science, NLP, Computer Vision
Data Science
NLP
Computer Vision
ML and Software Engineer
Jorg
previously:

Worked for Google Brain

and Facebook AI Research

Neural Networks, Computer Vision, Transformers
Neural Networks
Computer Vision
Transformers
AI Researcher
Andrew C.
previously:

Worked at Google Brain, Gretel AI

OpenAI Fellow

LLMs, NLP, Transformers
LLMs
NLP
Transformers
AI Researcher
Jeff
previously:

AI and research at Meta,
Allen AI, and Palantir

CV, NLP, ML Engineer
CV
NLP
ML Engineer
Data Scientist
Michele
previously:

Worked for Nasa, Google,
Stanford, Wayfair

Text classification, Demand forecasting
Text classification
Demand forecasting
Principal ML Engineer
Rahul
previously:

Director of Data Science at Appen,

Researcher at Toyota

Infrastructure, Data Science, ML Ops
Infrastructure
Data Science
ML Ops
ML Engineer
Timothy
previously:

ML at Google

Early engineer at Amazon Data

Data eng, NLP, Supply chain
Data eng
NLP
Supply chain
ML Product Manager
Saguna
previously:

ML Producer at Uber and Groupon,

HCI at Stanford

Product Management, Language Interfaces, Algorithmic Pricing
Product Management
Language Interfaces
Algorithmic Pricing
Research Engineer
Seraphina
previously:

Researcher at University of Edinburgh

Product at Google

AI Fairness, Interpretability, NLP
AI Fairness
Interpretability
NLP
ML engineer
Andrew
previously:

Engineering at Surge AI, Twitter

Harvard CS degree

Large Language Models, NLP, Humans-In-The-Loop
Large Language Models
NLP
Humans-In-The-Loop
ML Engineer
Erik
previously:

Deep Learning Scientist at Ravel Biotech

Researcher at Harvard Medical School

LLMs, Genomics, Reinforcement learning
LLMs
Genomics
Reinforcement learning
NLP Researcher
Prem
previously:

Data Scientist at IBM and AWS,

Faculty at Carnegie Mellon

Large Language Models, NLP, Infrastructure
Large Language Models
NLP
Infrastructure
Senior ML Engineer
Adrian
previously:

First employee at Weights & Biases,

Worked at Google

Data Science, NLP, Computer Vision
Data Science
NLP
Computer Vision
ML and Software Engineer
Jorg
previously:

Worked for Google Brain

and Facebook AI Research

Neural Networks, Computer Vision, Transformers
Neural Networks
Computer Vision
Transformers
CTO
Oleksandr
Previously:

CTO at Togal
ML at Adblock

Deep learning, Neural networks, ML engineer
Deep learning
Neural networks
ML engineer
ML Engineer
Paige
Previously:

Software Engineering at Google

Linguistics at UCLA

NLP, CV, Linguistics
NLP
CV
Linguistics
CTO
Doug
Previously:

VP of Eng at Carta

Head of Eng at Nova

Blockchain, Fintech, Advisor
Blockchain
Fintech
Advisor
Senior Data Scientist
Kineret
Previously:

Data at Google

Launched Apple card at Apple

Data infra, Deep learning
Data infra
Deep learning
AI Research Scientist
Sundeep
Previously:

AI Research at Amazon

PhD Cognitive Neuroscience, Published 50+ papers

Data Science, Causal Interference, NLP
Data Science
Causal Interference
NLP
ML Engineer
Alda
Previously:

Engineer at Cityblock Health

Sr Engineer Flatiron Health

Product, Dimensional modeling, Analytics
Product
Dimensional modeling
Analytics
ML Engineer
Scott
Previously:

Led ML at ClearBrain , Amplitude

Recommendations, ML infra, AWS
Recommendations
ML infra
AWS
ML Engineer
Yada
Previously:

ML at Amazon, Microsoft,
ASAPP, Infinitus

Conversational AI, NLP, Healthcare
Conversational AI
NLP
Healthcare
Full-stack Engineer
Richard
Previously:

Engineer at RBC

ML scientist at Arterys medical

Neural networks, Data eng, Recommendations
Neural networks
Data eng
Recommendations
ML Engineer
Helen
Previously:

Worked at Asana, Wikimedia, CertiK

1st DS hire at Deserve

Data science, Web3, AI Ethics
Data science
Web3
AI Ethics
ML Scientist
Catherine
Previously:

PhD from Cambridge University

Worked on NLP at Amazon Alexa

NLP, Chatbots, NLU
NLP
Chatbots
NLU
ML Engineer
Oana
Previously:

ML Engineer at Meta

Co-founder Habiter (YC S20)

NLP, LLM, Neural networks, Deep learning
NLP
LLM
Neural networks
Deep learning
CTO
Oleksandr
Previously:

CTO at Togal
ML at Adblock

Deep learning, Neural networks, ML engineer
Deep learning
Neural networks
ML engineer
ML Engineer
Paige
Previously:

Software Engineering at Google

Linguistics at UCLA

NLP, CV, Linguistics
NLP
CV
Linguistics
CTO
Doug
Previously:

VP of Eng at Carta

Head of Eng at Nova

Blockchain, Fintech, Advisor
Blockchain
Fintech
Advisor
Senior Data Scientist
Kineret
Previously:

Data at Google

Launched Apple card at Apple

Data infra, Deep learning
Data infra
Deep learning
AI Research Scientist
Sundeep
Previously:

AI Research at Amazon

PhD Cognitive Neuroscience, Published 50+ papers

Data Science, Causal Interference, NLP
Data Science
Causal Interference
NLP
ML Engineer
Alda
Previously:

Engineer at Cityblock Health

Sr Engineer Flatiron Health

Product, Dimensional modeling, Analytics
Product
Dimensional modeling
Analytics
ML Engineer
Scott
Previously:

Led ML at ClearBrain , Amplitude

Recommendations, ML infra, AWS
Recommendations
ML infra
AWS
ML Engineer
Yada
Previously:

ML at Amazon, Microsoft,
ASAPP, Infinitus

Conversational AI, NLP, Healthcare
Conversational AI
NLP
Healthcare
Full-stack Engineer
Richard
Previously:

Engineer at RBC

ML scientist at Arterys medical

Neural networks, Data eng, Recommendations
Neural networks
Data eng
Recommendations
ML Engineer
Helen
Previously:

Worked at Asana, Wikimedia, CertiK

1st DS hire at Deserve

Data science, Web3, AI Ethics
Data science
Web3
AI Ethics
ML Scientist
Catherine
Previously:

PhD from Cambridge University

Worked on NLP at Amazon Alexa

NLP, Chatbots, NLU
NLP
Chatbots
NLU
ML Engineer
Oana
Previously:

ML Engineer at Meta

Co-founder Habiter (YC S20)

NLP, LLM, Neural networks, Deep learning
NLP
LLM
Neural networks
Deep learning
[Our Tribe advisor] grounded us in understanding the different models and training structures to think about. Every week was a new unlock to a deeper understanding of how to use this new technology.
How Tribe accelerates generative AI

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.

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