Start with the work
We map the handoffs, recurring decisions, and tools your team already relies on before recommending a technical answer.
Strategy, systems, and tailored agents
Your problems first.The right technology and AI to solve them.
LLastMile works alongside your team to uncover what is slowing you down, redesign the workflow, and build the solution — whether that is a tailored LMAgent, better-connected tools, or a smarter system.
Cloud by default · On-prem and local-model deployments available
Built around the environment you already have.
- Slack, Teams, and Notion
- Your models or ours
- Cloud or your infrastructure
- A rollout led with your team
The agent is only part of the answer.
Most operational problems are not solved by adding another tool. They are solved by understanding how the work moves, changing the right parts, and helping people adopt the result.
Build only what helps
The answer might be an LMAgent, an integration, a redesigned workflow, or a combination. The technology follows the problem.
Stay through adoption
We launch with the people doing the work, watch where the system falls short, and improve it until it fits the day-to-day.
Keep the choices open
Use your preferred models, connect private data, and run in our cloud or your environment without rebuilding the whole system.
See what changes in the working day.
Your day, briefed before it starts.
An LMAgent watches your tools and posts a prioritized briefing to Slack every morning — what moved, what's blocked, and what needs you today. It runs on a schedule, on its own.
How we work
Start small enough to learn. Build far enough to matter.
A first engagement focuses on one stubborn workflow. We prove the approach with your team, then expand only where the result earns it.
Map the work
Talk with the people doing it, follow the information through your tools, and agree on what a useful result looks like.
Build the smallest useful system
Connect only the data and tools needed for the first working version. Test it against real work, not a staged demo.
Run it with your team
Measure where it saves time, fix where it creates friction, and decide together what should be automated next.
Cloud is usually the fastest start. It is not a requirement.
The same work can run as a managed service, inside your environment, or with local models. We choose the boundary from your security and operating needs.
01
Managed Cloud
The practical starting point
We host and maintain the system while your team focuses on using it.
- Typical setup: 2–4 weeks
- Ongoing iteration with our team
- Bring your own model or use ours
02
On-prem + Managed
Your environment, our upkeep
The system runs in your infrastructure while we handle upgrades and tuning.
- Customer-hosted environment
- We handle upgrades and tuning
- Your data stays in your perimeter
03
On-prem + Local Model
For strict privacy boundaries
A fully private option for regulated, sensitive, or air-gapped work.
- Fully private deployment
- Local inference supported
- No third-party LLM dependency
Bring us a stubborn workflow.
Tell us what keeps getting delayed, repeated, or lost between tools. We will help you work out whether technology and AI can improve it — and build the answer if they can.