Fractal
Labs

Applied AI

We work with ambitious teams to build AI solutions that transform industries and deliver real-world impact.

Full-Stack AI Consulting

Strategy

Tailored roadmaps, strategic plans, and viability assessments to guide AI initiatives

Development

AI solutions spanning proof of concept to full-scale production

Training

Instruction for technical teams and AI education for stakeholders and executives

Who We Are

We are a team of seasoned researchers and engineers with deep domain expertise and a history of delivering transformative AI solutions. Leveraging diverse expertise and practical experience, we tackle complex problems for leading startups, enterprises, and government agencies.

Our Capabilities

LightGBMCatBoostSupport Vector Machines (SVMs)K-Nearest Neighbors (KNN)Naive BayesK-Means ClusteringHierarchical ClusteringPrincipal Component Analysis (PCA)t-Distributed Stochastic Neighbor Embedding (t-SNE)Convolutional Neural Networks (CNNs)Recurrent Neural Networks (RNNs)Long Short-Term Memory (LSTM) NetworksGated Recurrent Units (GRUs)Generative Adversarial Networks (GANs)AutoencodersTransformer ModelsAttention MechanismsReinforcement Learning (RL)Deep Q-Networks (DQNs)Self-Organizing Maps (SOMs)Boltzmann MachinesGPT (Generative Pre-trained Transformer)Retrieval-Augmented Generation (RAGs)BERT (Bidirectional Encoder Representations from Transformers)T5 (Text-To-Text Transfer Transformer)GPT-3 / GPT-4RoBERTa (Robustly Optimized BERT Pretraining Approach)DistilBERTXLNetALBERT (A Lite BERT)mBERT (Multilingual BERT)Transformer-XLMegatron-LMBART (Bidirectional and Auto-Regressive Transformers)Turing-NLGOPT (Open Pre-trained Transformer)LaMDA (Language Model for Dialogue Applications)PaLM (Pathways Language Model)ELECTRA (Efficiently Learning an Encoder that Classifies Token Replacements Accurately)FLAN (Fine-Tuned Language Net)BioBERT (Biomedical BERT)
LightGBMCatBoostSupport Vector Machines (SVMs)K-Nearest Neighbors (KNN)Naive BayesK-Means ClusteringHierarchical ClusteringPrincipal Component Analysis (PCA)t-Distributed Stochastic Neighbor Embedding (t-SNE)Convolutional Neural Networks (CNNs)Recurrent Neural Networks (RNNs)Long Short-Term Memory (LSTM) NetworksGated Recurrent Units (GRUs)Generative Adversarial Networks (GANs)AutoencodersTransformer ModelsAttention MechanismsReinforcement Learning (RL)Deep Q-Networks (DQNs)Self-Organizing Maps (SOMs)Boltzmann MachinesGPT (Generative Pre-trained Transformer)Retrieval-Augmented Generation (RAGs)BERT (Bidirectional Encoder Representations from Transformers)T5 (Text-To-Text Transfer Transformer)GPT-3 / GPT-4RoBERTa (Robustly Optimized BERT Pretraining Approach)DistilBERTXLNetALBERT (A Lite BERT)mBERT (Multilingual BERT)Transformer-XLMegatron-LMBART (Bidirectional and Auto-Regressive Transformers)Turing-NLGOPT (Open Pre-trained Transformer)LaMDA (Language Model for Dialogue Applications)PaLM (Pathways Language Model)ELECTRA (Efficiently Learning an Encoder that Classifies Token Replacements Accurately)FLAN (Fine-Tuned Language Net)BioBERT (Biomedical BERT)
LightGBMCatBoostSupport Vector Machines (SVMs)K-Nearest Neighbors (KNN)Naive BayesK-Means ClusteringHierarchical ClusteringPrincipal Component Analysis (PCA)t-Distributed Stochastic Neighbor Embedding (t-SNE)Convolutional Neural Networks (CNNs)Recurrent Neural Networks (RNNs)Long Short-Term Memory (LSTM) NetworksGated Recurrent Units (GRUs)Generative Adversarial Networks (GANs)AutoencodersTransformer ModelsAttention MechanismsReinforcement Learning (RL)Deep Q-Networks (DQNs)Self-Organizing Maps (SOMs)Boltzmann MachinesGPT (Generative Pre-trained Transformer)Retrieval-Augmented Generation (RAGs)BERT (Bidirectional Encoder Representations from Transformers)T5 (Text-To-Text Transfer Transformer)GPT-3 / GPT-4RoBERTa (Robustly Optimized BERT Pretraining Approach)DistilBERTXLNetALBERT (A Lite BERT)mBERT (Multilingual BERT)Transformer-XLMegatron-LMBART (Bidirectional and Auto-Regressive Transformers)Turing-NLGOPT (Open Pre-trained Transformer)LaMDA (Language Model for Dialogue Applications)PaLM (Pathways Language Model)ELECTRA (Efficiently Learning an Encoder that Classifies Token Replacements Accurately)FLAN (Fine-Tuned Language Net)BioBERT (Biomedical BERT)
Transformer ModelsT5 (Text-To-Text Transfer Transformer)CatBoostPaLM (Pathways Language Model)GPT (Generative Pre-trained Transformer)Principal Component Analysis (PCA)Convolutional Neural Networks (CNNs)Deep Q-Networks (DQNs)Retrieval-Augmented Generation (RAGs)OPT (Open Pre-trained Transformer)BioBERT (Biomedical BERT)Long Short-Term Memory (LSTM) NetworksBERT (Bidirectional Encoder Representations from Transformers)Naive BayesMegatron-LMLightGBMELECTRA (Efficiently Learning an Encoder that Classifies Token Replacements Accurately)Transformer-XLLaMDA (Language Model for Dialogue Applications)Boltzmann MachinesBART (Bidirectional and Auto-Regressive Transformers)Self-Organizing Maps (SOMs)Turing-NLGHierarchical ClusteringAttention MechanismsReinforcement Learning (RL)RoBERTa (Robustly Optimized BERT Pretraining Approach)AutoencodersK-Means ClusteringRecurrent Neural Networks (RNNs)XLNetGPT-3 / GPT-4Support Vector Machines (SVMs)Generative Adversarial Networks (GANs)t-Distributed Stochastic Neighbor Embedding (t-SNE)DistilBERTFLAN (Fine-Tuned Language Net)ALBERT (A Lite BERT)K-Nearest Neighbors (KNN)Gated Recurrent Units (GRUs)mBERT (Multilingual BERT)
Transformer ModelsT5 (Text-To-Text Transfer Transformer)CatBoostPaLM (Pathways Language Model)GPT (Generative Pre-trained Transformer)Principal Component Analysis (PCA)Convolutional Neural Networks (CNNs)Deep Q-Networks (DQNs)Retrieval-Augmented Generation (RAGs)OPT (Open Pre-trained Transformer)BioBERT (Biomedical BERT)Long Short-Term Memory (LSTM) NetworksBERT (Bidirectional Encoder Representations from Transformers)Naive BayesMegatron-LMLightGBMELECTRA (Efficiently Learning an Encoder that Classifies Token Replacements Accurately)Transformer-XLLaMDA (Language Model for Dialogue Applications)Boltzmann MachinesBART (Bidirectional and Auto-Regressive Transformers)Self-Organizing Maps (SOMs)Turing-NLGHierarchical ClusteringAttention MechanismsReinforcement Learning (RL)RoBERTa (Robustly Optimized BERT Pretraining Approach)AutoencodersK-Means ClusteringRecurrent Neural Networks (RNNs)XLNetGPT-3 / GPT-4Support Vector Machines (SVMs)Generative Adversarial Networks (GANs)t-Distributed Stochastic Neighbor Embedding (t-SNE)DistilBERTFLAN (Fine-Tuned Language Net)ALBERT (A Lite BERT)K-Nearest Neighbors (KNN)Gated Recurrent Units (GRUs)mBERT (Multilingual BERT)
Transformer ModelsT5 (Text-To-Text Transfer Transformer)CatBoostPaLM (Pathways Language Model)GPT (Generative Pre-trained Transformer)Principal Component Analysis (PCA)Convolutional Neural Networks (CNNs)Deep Q-Networks (DQNs)Retrieval-Augmented Generation (RAGs)OPT (Open Pre-trained Transformer)BioBERT (Biomedical BERT)Long Short-Term Memory (LSTM) NetworksBERT (Bidirectional Encoder Representations from Transformers)Naive BayesMegatron-LMLightGBMELECTRA (Efficiently Learning an Encoder that Classifies Token Replacements Accurately)Transformer-XLLaMDA (Language Model for Dialogue Applications)Boltzmann MachinesBART (Bidirectional and Auto-Regressive Transformers)Self-Organizing Maps (SOMs)Turing-NLGHierarchical ClusteringAttention MechanismsReinforcement Learning (RL)RoBERTa (Robustly Optimized BERT Pretraining Approach)AutoencodersK-Means ClusteringRecurrent Neural Networks (RNNs)XLNetGPT-3 / GPT-4Support Vector Machines (SVMs)Generative Adversarial Networks (GANs)t-Distributed Stochastic Neighbor Embedding (t-SNE)DistilBERTFLAN (Fine-Tuned Language Net)ALBERT (A Lite BERT)K-Nearest Neighbors (KNN)Gated Recurrent Units (GRUs)mBERT (Multilingual BERT)
AutoencodersCatBoostDeep Q-Networks (DQNs)t-Distributed Stochastic Neighbor Embedding (t-SNE)Turing-NLGAttention MechanismsGated Recurrent Units (GRUs)Generative Adversarial Networks (GANs)BioBERT (Biomedical BERT)OPT (Open Pre-trained Transformer)LightGBMGPT (Generative Pre-trained Transformer)T5 (Text-To-Text Transfer Transformer)Megatron-LMK-Means ClusteringXLNetSupport Vector Machines (SVMs)Reinforcement Learning (RL)K-Nearest Neighbors (KNN)Hierarchical ClusteringGPT-3 / GPT-4Naive BayesPrincipal Component Analysis (PCA)Transformer ModelsRecurrent Neural Networks (RNNs)BART (Bidirectional and Auto-Regressive Transformers)ALBERT (A Lite BERT)LaMDA (Language Model for Dialogue Applications)FLAN (Fine-Tuned Language Net)Transformer-XLLong Short-Term Memory (LSTM) NetworksBoltzmann MachinesELECTRA (Efficiently Learning an Encoder that Classifies Token Replacements Accurately)BERT (Bidirectional Encoder Representations from Transformers)DistilBERTmBERT (Multilingual BERT)Convolutional Neural Networks (CNNs)RoBERTa (Robustly Optimized BERT Pretraining Approach)Retrieval-Augmented Generation (RAGs)Self-Organizing Maps (SOMs)PaLM (Pathways Language Model)
AutoencodersCatBoostDeep Q-Networks (DQNs)t-Distributed Stochastic Neighbor Embedding (t-SNE)Turing-NLGAttention MechanismsGated Recurrent Units (GRUs)Generative Adversarial Networks (GANs)BioBERT (Biomedical BERT)OPT (Open Pre-trained Transformer)LightGBMGPT (Generative Pre-trained Transformer)T5 (Text-To-Text Transfer Transformer)Megatron-LMK-Means ClusteringXLNetSupport Vector Machines (SVMs)Reinforcement Learning (RL)K-Nearest Neighbors (KNN)Hierarchical ClusteringGPT-3 / GPT-4Naive BayesPrincipal Component Analysis (PCA)Transformer ModelsRecurrent Neural Networks (RNNs)BART (Bidirectional and Auto-Regressive Transformers)ALBERT (A Lite BERT)LaMDA (Language Model for Dialogue Applications)FLAN (Fine-Tuned Language Net)Transformer-XLLong Short-Term Memory (LSTM) NetworksBoltzmann MachinesELECTRA (Efficiently Learning an Encoder that Classifies Token Replacements Accurately)BERT (Bidirectional Encoder Representations from Transformers)DistilBERTmBERT (Multilingual BERT)Convolutional Neural Networks (CNNs)RoBERTa (Robustly Optimized BERT Pretraining Approach)Retrieval-Augmented Generation (RAGs)Self-Organizing Maps (SOMs)PaLM (Pathways Language Model)
AutoencodersCatBoostDeep Q-Networks (DQNs)t-Distributed Stochastic Neighbor Embedding (t-SNE)Turing-NLGAttention MechanismsGated Recurrent Units (GRUs)Generative Adversarial Networks (GANs)BioBERT (Biomedical BERT)OPT (Open Pre-trained Transformer)LightGBMGPT (Generative Pre-trained Transformer)T5 (Text-To-Text Transfer Transformer)Megatron-LMK-Means ClusteringXLNetSupport Vector Machines (SVMs)Reinforcement Learning (RL)K-Nearest Neighbors (KNN)Hierarchical ClusteringGPT-3 / GPT-4Naive BayesPrincipal Component Analysis (PCA)Transformer ModelsRecurrent Neural Networks (RNNs)BART (Bidirectional and Auto-Regressive Transformers)ALBERT (A Lite BERT)LaMDA (Language Model for Dialogue Applications)FLAN (Fine-Tuned Language Net)Transformer-XLLong Short-Term Memory (LSTM) NetworksBoltzmann MachinesELECTRA (Efficiently Learning an Encoder that Classifies Token Replacements Accurately)BERT (Bidirectional Encoder Representations from Transformers)DistilBERTmBERT (Multilingual BERT)Convolutional Neural Networks (CNNs)RoBERTa (Robustly Optimized BERT Pretraining Approach)Retrieval-Augmented Generation (RAGs)Self-Organizing Maps (SOMs)PaLM (Pathways Language Model)
Naive BayesTuring-NLGMegatron-LMXLNetTransformer ModelsmBERT (Multilingual BERT)LightGBMPrincipal Component Analysis (PCA)AutoencodersFLAN (Fine-Tuned Language Net)K-Means ClusteringConvolutional Neural Networks (CNNs)DistilBERTBERT (Bidirectional Encoder Representations from Transformers)BART (Bidirectional and Auto-Regressive Transformers)Support Vector Machines (SVMs)GPT (Generative Pre-trained Transformer)t-Distributed Stochastic Neighbor Embedding (t-SNE)Attention MechanismsSelf-Organizing Maps (SOMs)BioBERT (Biomedical BERT)RoBERTa (Robustly Optimized BERT Pretraining Approach)Hierarchical ClusteringCatBoostDeep Q-Networks (DQNs)Retrieval-Augmented Generation (RAGs)GPT-3 / GPT-4Reinforcement Learning (RL)ALBERT (A Lite BERT)LaMDA (Language Model for Dialogue Applications)K-Nearest Neighbors (KNN)OPT (Open Pre-trained Transformer)Recurrent Neural Networks (RNNs)Transformer-XLGated Recurrent Units (GRUs)PaLM (Pathways Language Model)ELECTRA (Efficiently Learning an Encoder that Classifies Token Replacements Accurately)Long Short-Term Memory (LSTM) NetworksBoltzmann MachinesGenerative Adversarial Networks (GANs)T5 (Text-To-Text Transfer Transformer)
Naive BayesTuring-NLGMegatron-LMXLNetTransformer ModelsmBERT (Multilingual BERT)LightGBMPrincipal Component Analysis (PCA)AutoencodersFLAN (Fine-Tuned Language Net)K-Means ClusteringConvolutional Neural Networks (CNNs)DistilBERTBERT (Bidirectional Encoder Representations from Transformers)BART (Bidirectional and Auto-Regressive Transformers)Support Vector Machines (SVMs)GPT (Generative Pre-trained Transformer)t-Distributed Stochastic Neighbor Embedding (t-SNE)Attention MechanismsSelf-Organizing Maps (SOMs)BioBERT (Biomedical BERT)RoBERTa (Robustly Optimized BERT Pretraining Approach)Hierarchical ClusteringCatBoostDeep Q-Networks (DQNs)Retrieval-Augmented Generation (RAGs)GPT-3 / GPT-4Reinforcement Learning (RL)ALBERT (A Lite BERT)LaMDA (Language Model for Dialogue Applications)K-Nearest Neighbors (KNN)OPT (Open Pre-trained Transformer)Recurrent Neural Networks (RNNs)Transformer-XLGated Recurrent Units (GRUs)PaLM (Pathways Language Model)ELECTRA (Efficiently Learning an Encoder that Classifies Token Replacements Accurately)Long Short-Term Memory (LSTM) NetworksBoltzmann MachinesGenerative Adversarial Networks (GANs)T5 (Text-To-Text Transfer Transformer)
Naive BayesTuring-NLGMegatron-LMXLNetTransformer ModelsmBERT (Multilingual BERT)LightGBMPrincipal Component Analysis (PCA)AutoencodersFLAN (Fine-Tuned Language Net)K-Means ClusteringConvolutional Neural Networks (CNNs)DistilBERTBERT (Bidirectional Encoder Representations from Transformers)BART (Bidirectional and Auto-Regressive Transformers)Support Vector Machines (SVMs)GPT (Generative Pre-trained Transformer)t-Distributed Stochastic Neighbor Embedding (t-SNE)Attention MechanismsSelf-Organizing Maps (SOMs)BioBERT (Biomedical BERT)RoBERTa (Robustly Optimized BERT Pretraining Approach)Hierarchical ClusteringCatBoostDeep Q-Networks (DQNs)Retrieval-Augmented Generation (RAGs)GPT-3 / GPT-4Reinforcement Learning (RL)ALBERT (A Lite BERT)LaMDA (Language Model for Dialogue Applications)K-Nearest Neighbors (KNN)OPT (Open Pre-trained Transformer)Recurrent Neural Networks (RNNs)Transformer-XLGated Recurrent Units (GRUs)PaLM (Pathways Language Model)ELECTRA (Efficiently Learning an Encoder that Classifies Token Replacements Accurately)Long Short-Term Memory (LSTM) NetworksBoltzmann MachinesGenerative Adversarial Networks (GANs)T5 (Text-To-Text Transfer Transformer)

Pricing

Our two-tier pricing model is designed to support you at any stage of your AI journey. Whether you need lighter guidance to get started or deeper collaboration for tackling big projects, we adapt to help meet your goals.

Strategy

$14,000per month

Streamline the process of implementing an AI strategy with ongoing, focused support to enhance your team’s productivity and drive sustainable progress.

On-Demand Guidance

Asynchronous access, email, slack, ad-hoc meetings for strategic advice and overcoming challenges.

Growth & Efficiency

Enhance your team’s skills and streamline AI/ML processes.

Hiring

Help you understand the quantitative skills needed for upcoming AI and ML roles.

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Scale

Ideal for engineering teams aiming to accelerate AI development, explore new technologies, enhance capabilities, and train engineers to adopt a strategic mindset.

Quick Prototyping & Research

Conduct rapid feasibility studies and develop prototypes for AI/ML projects.

AI Strategy and Roadmaps

Develop tailored AI strategies and roadmaps to align your organization's goals with cutting-edge technologies, mapping innovative concepts to tangible business outcomes.

Data & Production Support

Assist in building and launching data-driven products, with a focus on continuous improvement and production readiness.

Optimization guidance

Provide strategies to improve data collection, labeling, and quality.

Domain-specific Evaluation System

Design and implement custom evaluation systems to measure the performance and reliability of your LLMs.

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