Make more of your operation run without you.
AI agents, document pipelines, and voice systems that go live and stay live. We build them, then we run them for you.
How we put AI to work
Three steps, and you can stop after any of them. We scope it, build it, then run it: document pipelines, AI agents, and voice agents.
Find out whether it is worth doing
One week. We look at the data you already have, agree what a good result looks like, and put a fixed price on a small test.
- A plan written in plain English
- Fixed price before you commit to anything
- An honest no if AI is the wrong tool
Prove it on your own data first
Two to eight weeks. A working version on your real documents before the big spend, then the production system, connected to the tools your team already uses.
- A demo you can judge, on your data
- A go or no-go decision that stays yours
- Rolled out to a small group before everyone
Then it runs on our watch, not yours
Ongoing. We monitor it, answer the pager when something breaks, and ship the next version as what you need changes.
- 99.9% uptime across production systems
- On call when it breaks, not just office hours
- Improvements as the work changes
Production systems we keep running
Document pipelines, agents, and custom software for teams in legal, financial services, industrial imaging, and publishing.
What these systems handle on a normal day
The numbers below are what the work looks like when nobody is watching it.
Token throughput
Batched inference and rate-limit-aware routing keep LLM workloads predictable.
Data movement at scale
Streaming pipelines and partitioned storage move terabytes without bottlenecks.
Continuity & SLOs
Observability, on-call rotations, and runbook-driven response keep workloads online.
Why clients stay
Most engagements run for years, not weeks.
Production First
We size for throughput, reliability, and what it costs to run.
Dedicated Delivery
Specialized engineers embedded with your team.
End-to-end ownership
Architecture, deployment, and monitoring handled end to end.
Long-Term Partnership
Ongoing support and continuity, long after launch.
What we have learned
Notes from running these systems in production. Architecture trade offs, what things actually cost, and what we got wrong.
What working with us is actually like
SparkFire felt more like a partner than just a service provider. They truly listened to our needs and delivered results that exceeded our expectations.
Working with SparkFire was a breath of fresh air. Their team's passion and dedication made the entire process not only seamless but enjoyable.
SparkFire was one of the best decisions we made for our business. Their creativity and expertise helped us navigate challenges with confidence.
Frequently asked questions
Tell us what your team keeps doing by hand
One call, no deck. We will tell you honestly whether this is worth doing.