Reimagine offerings & operations with GenAI.
Genai & ML
We’ve helped 100+ startups and leaders test quickly and scale securely with practical ML and
generative AI solutions.
Hands-on expertise at every stage of your GenAI journey
Long before GenAI started trending, our team accumulated a decade of hands-on ML expertise, strategizing with executives and deploying solutions across markets.
Our commitment to excellence in model quality, data security and harnessing the right tools for every industry scenario makes us an ideal partner for leaders targeting faster GenAI adoption and expansion.
Generative AI Strategy & Deployment
LLM Model Selection
ML Building, Training, Tuning & Deployment
MLOps (Creating Baseline Infrastructure)
Prompt Engineering
ML & MLOps Team Augmentation
See real GenAI success stories.
Add value to your apps and operations sooner.
Prove your use case quickly with the GenAI Workshop.
Choose the right LLMs and tools.
Select and create infrastructure.
Optimize costs and scalability in production.
Tune and expand existing models.
Offers for Easier Decision-Making
With generous cash funding from AWS
GenAI Workshop
AWS’s most popular GenAI Partner offering, go from idea to POC in 4-8 weeks, 75%-100% funded by AWS.
OpenAI Migration Assessment
Get a head-to-head comparison of OpenAI and AWS solutions in 4-6 weeks, with 75%-100% of the costs funded by AWS.
GenAI Launchpad for Startups
Discover your first GenAI use case in 3-4 weeks, 100% funded by AWS.
Accelerating Drug Discovery with BioLLMs
Modernize your drug discovery process with GenAI, protein and DNA language models, tailored to your data in 10-12 weeks. At least 50% funded by AWS.
AWS Silicon Migration Assessment
Evaluate AWS Silicon for enhanced price and performance against NVIDIA GPUs in 6-11 weeks, funded by AWS.
AWS Marketplace
See all of our offerings on the AWS Marketplace.
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Loka’s GenAI, AI & ML Tech Stack
Our teams employ the latest tools and technologies while constantly expanding their expertise to incorporate the next essential innovation.
Libraries and Frameworks
- Hugging Face Transformers
- TensorFlow
- PyTorch
- Scikit-learn
- Keras
- Scikit-learn
- Amazon Bedrock
- LANGCHAIN
- STREAMLIT & GRADIO
Pretrained Models
- LLMS: CLAUDE, GPT, LLAMA, MISTRAL, TITAN
- EMBEDDING LMS: E5, BGE, BERT, GTE
- BIOLLMS: PROTBERT, SCGPT, ESM2. ESM1b(?)RoBERTa
- OTHERS: WHISPER, STABLE DIFFUSION, BLIP-2T5
- PLUS AN EVOLVING LIST
MLOps
- MLFLOW
- LANGKIT, TRULENS, EVIDENTLY
- APACHE AIRFLOW, FLYTE, METAFLOW, PREFECT
Cloud
- AMAZON SAGEMAKER & BEDROCK
- AMAZON COMPREHEND, REKOGNITION, POLLY, TEXTRACT & KENDRA
- AWS TRAINIUM & INFERENTIA
- GCP VERTEX AI
- AZURE MACHINE LEARNING
Data Versioning
- DVC
- QUILTAmazon Redshift
Vector DBs
- QDRANT
- WEAVIATE
- CHROMADB
- PGVECTOR
- FAISSCHROMADB
Combine our expertise to ship faster.
