Running big AI jobs in the background?

If you process documents, generate embeddings, classify large batches, or re-run AI jobs at scale, we may be able to do it at a much lower cost. Send us a small sample in JSONL or PDFs and we’ll run it for free and show you the cost versus AWS or OpenAI.

Simple first step

No integration. No commitment. Just a real comparison.

Best fit for teams with repeatable AI workloads where cost matters more than instant response time.

Submit a sample workload Email us instead

Please avoid sending sensitive or personal data at this stage.

Who this is for

Solvyr is for teams that already know they have a meaningful AI workload, but do not want to keep paying premium infrastructure prices for jobs that can run in the background.

You process large batches of documents or text

You run embeddings, classification, extraction, or other repeatable AI jobs

Your workload can run in the background

Lower cost matters more than instant completion

You sometimes reprocess old data, backfills, or large archives

You need a realtime API for user-facing requests

You need strict SLAs or guaranteed response times

Every single run must complete immediately with no room for retries

Built for batch workloads where efficiency, reliability, and predictable execution matter more than speed for a single request.

Typical example

A company has 100,000 to 1,000,000 documents to process for embeddings, extraction, or classification. The work is important, but it does not need to finish in real time.

How it works

1. You send a small representative sample

Share a small batch in JSONL or PDFs, plus a short note on what you want done with it.

2. We run it for free

We test it on our infrastructure and check whether your workload is a good fit for this setup.

3. You get a practical cost comparison

We show you what the workload looks like on our side and how the economics compare with AWS or OpenAI.

Good first workloads

Document processing, embeddings, large-scale classification, archive reprocessing, backfills, and other repeatable AI jobs that do not need realtime responses.

About

What we are focused on

Solvyr is focused on one thing: helping teams run the right kind of AI workloads more cost-efficiently.

How we think

We care about real workloads, clear economics, and building a system that can keep jobs moving even when parts of the infrastructure fail.

Current stage

Early-stage. We are working with focused technical pilots and speaking with teams that have real batch workloads today.

Try it with a small sample

Low-friction first step

Send a small sample workload and we’ll run it for free.

You’ll get a practical view on fit and a cost comparison versus AWS or OpenAI, without needing to integrate anything first.

Submit workload details Email us instead

JSONL or PDFs are fine. Please avoid sending sensitive or personal data at this stage.