Use OTS LLMs or create your own proprietary model to automate AI solutioning to solve key business problems: improve margins and profits and accelerate delivery timelines by reducing costs, people time, and resources.
LLM Labs offers over 250 language models for robo-labeling (automated data annotation) based on OTS or custom ontologies and data sets. Models can be leveraged simultaneously for comparison, evaluation, and benchmarking of inference quality, speed, and cost as well as model recommendations. Furthermore, LLMs can be deployed in Datasaur's Data Studio for custom model development and automation.
You can explore and evaluate all of these with peace of mind, as Datasaur is SOC 2 Type 2, HIPAA, and GDPR compliant. Your data stays your data.
Highlights
Leverage 250+ LLMs for robo-labeling (automated data annotation), model building and evaluation.
Build custom AI solutions with the best-in-market LLMs and annotation tools for automation to reduce people time and costs by over 70%
Full service workforce management and review tooling that allows teams to track and monitor progress.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This subscription uses pay-as-you-go pricing with one usage dimension. You pay only for what you use, billed by units consumed. The cost per unit depends on which model you run, so each model carries its own rate. There are no fixed tiers or instance sizes to choose from. Your total scales directly with how many units you process and which models you select. LLM Labs lets you experiment with different models, manage knowledge bases, and evaluate outputs in one place, with usage charged as you go.
Top-of-mind questions for buyers
What counts as a billable unit, and how does the model I pick affect the rate?
You are billed by units consumed. The rate per unit depends on which model you run. Each model carries its own cost, so switching to a different model changes the per-unit rate you pay. Your total reflects both the number of units processed and the models used.
How does this pay-as-you-go billing work compared to committing upfront?
This subscription meters actual usage with no upfront commitment. Charges apply only for units you consume, billed as you go. There are no fixed tiers or instance sizes to select. This suits variable workloads where usage changes over time rather than steady, predictable volume.
What can I do in LLM Labs that drives usage charges?
LLM Labs lets you experiment with different models, manage knowledge bases for semantic search and retrieval, and evaluate model outputs through human feedback and automated scoring. Running these activities consumes units, and your charges accrue based on that consumption and the models you select.
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Vendor refund policy
This is a pay as you go plan. You will only be charged for the amount you use.
For any refund requests please contact support@datasaur.ai
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