Start with one prompt in the AI coding agent you already use. Lithi finds suitable work, shows you the price, and can process approved jobs across compatible Apple silicon in the network.
Encrypted inputs and results. No customer plaintext retained in Lithi control systems. Paid work starts only after you approve the final quote.
Your frontier AI is good at understanding goals, making decisions, and bringing everything together.
Lithi Compute is built for the parts that can be clearly defined, split into smaller units, checked independently, and processed in parallel.
Use Lithi for scale. Keep architecture, judgment, final synthesis, and high-impact decisions with your agent or your team.
How the work moves between your agent and Lithi Compute.
Step 1
Your agent
Step 2
Lithi Compute
Step 3
Parallel units
Step 4
Checked results
Step 5
Back to your agent
Choose the result you need. Lithi works out which available operations can handle the job, how the work can be divided, how it should be checked, and what it will cost.
Choose a workflow
Translate recordings, videos, documents, or datasets in parallel while keeping timestamps, terminology, and source evidence aligned.
Outputs
Transcripts · captions · SRT/VTT · translated text · terminology exceptions
Useful for
Media teams · creators · AI labs · global organizations
Run large evaluation sets, compare candidate outputs, measure slices, preserve disagreements, and return the cases that need attention.
Outputs
Metrics · failure sets · slices · disagreement cases · comparison reports
Useful for
AI labs · data scientists · ML teams
Validate, normalize, deduplicate, classify, stratify, and export large datasets while preserving stable item IDs and rejected rows.
Outputs
JSONL · Parquet · Arrow · quality reports
Useful for
Data engineers · data scientists
Transcribe meetings, identify speakers, extract decisions and actions, verify them against timestamps, and return review-ready records.
Outputs
Transcript · minutes · actions · decisions · risks · evidence
Useful for
Operations · product · research
Extract text, layout, tables, and evidence from document collections and prepare them for analysis, retrieval, or RAG.
Outputs
Markdown · JSON · CSV · structured chunks · evidence maps
Useful for
Research · finance · legal · ops
Validate model interfaces, compile supported models, run compatible predictions, and compare performance.
Outputs
Predictions · benchmark reports · model evidence
Useful for
ML engineers
Run supported build, test, capture, and inspection workflows and return results your engineering agent can review.
Outputs
Builds · tests · captures · JUnit · SARIF · release evidence
Useful for
Engineering · QA
Large AI workloads often contain many pieces that do not need to wait for one another.
Lithi can divide suitable work into bounded units, process independent units across available capacity, check the outputs, and return them as one organized result set.
How one batch fans out and returns as one result.
One batch
Independent units
Processed in parallel
Checked
One result set
Illustrative examples, not performance guarantees.
A Compute workflow can combine deterministic processing, Apple-native frameworks, specialist models, Core ML or MLX, and bounded Gemma work.
Lithi chooses from compatible paths defined by the workflow rather than sending every step through the same model.
How Lithi chooses the right path for each step.
Input
Deterministic & native
Apple frameworks
Core ML / MLX
Gemma
Verification
Result
AI labs
Run large evaluations and compare model outputs without slowing your own team down.
Data scientists
Clean, validate, and prepare large datasets before they reach your models.
ML engineers
Benchmark and validate Core ML workloads on real Apple silicon.
Software teams
Run repetitive code-quality work in parallel across a whole codebase.
Media teams
Turn recordings and content libraries into translated, organized outputs.
Research teams
Turn long documents and datasets into structured, checkable evidence.
01
"Translate these videos," "classify these records," or "compare these model outputs."
02
Files, rows, segments, tests, records, or other independent units can be processed separately.
03
A schema, rule, sample, comparison, rubric, or person can verify the output.
04
The workload must match the current privacy, jurisdiction, capability, and handling rules.
Keep open-ended strategy, final decisions, destructive actions, and unclear goals with your frontier agent or a person.
Paste the Lithi assessment prompt into your coding agent. It reviews only the work you authorize, identifies repeatable workloads, checks current Lithi boundaries and prices, and returns the strongest opportunities.
What happens after you paste the assessment prompt.
One prompt
Review authorized work locally
Find repeatable work
Check data and availability
Compare units and price
Up to three best uses
You decide
No account. No installation. No paid work during the assessment.
One illustrative plan. Your real plan depends on your workload and the current price.
Workload
10,000 scanned pages
Workflow
PDF extraction
Expected price
$1.125 per 1,000 accepted pages
Maximum
Illustrative — a real maximum appears in your quote.
Illustrative example. Not a performance guarantee or a live quote.
Lithi Compute does not ask you to choose machines.
Once you approve work, Lithi checks the workflow, data rules, required capabilities, current capacity, and execution policy before selecting suitable compute.
What Lithi checks before selecting compute.
Suitable compute selected
Specific machines or nearby placement are never guaranteed.
Inputs and results travel encrypted. Plaintext exists only inside the approved environment doing the work, and only for as long as the work needs it.
How your data moves through one job.
This is not marketed as absolute zero knowledge or confidential computing.
Automated checks confirm the result matches the expected schema and rules.
A second independent pass checks the result against the same rules before it is returned.
Multiple independent checks, plus sampled review for work that needs it.
You supply the rubric or comparison set. Lithi checks results against it.
Verification tells you what was checked. It does not turn a model output into an unquestionable fact.
Compute is priced by the unit of work — pages, minutes, characters, or rows. You always see a price preview before anything runs.
How a price becomes an invoice.
Quote first
See the price for a job before you approve it.
Control spend
Set limits and approve work before it runs.
Invoice monthly
Approved work across the month is billed together.
Work
What ran, and what it produced, this month.
Macs
How many approved Macs helped complete your work.
Community
The Mac owners and communities behind that capacity.
Region & energy
Aggregated region and energy context, reported only where the evidence supports it.
Use Lithi through your existing coding agent, CLI, SDK, or MCP connection. Discovery and planning happen locally; paid work stays behind five bounded Compute tools.
Answers already covered on this page, gathered in one place.
Work with a clear result, units that can run separately, and a way to check the answer. Translating a video library, evaluating model outputs, cleaning a large dataset, or processing thousands of documents are common examples. Your agent checks the fit first.
Use the free assessment to check fit before any paid work runs.
No account or paid work during the assessment.
Let the agent already working with your project find the repetitive work that fits Lithi, show you the price, and recommend a small first test.
No account, installation, or paid work during the assessment.