We replace manual computer tasks with high-speed AI tools. Then, we move those tools off of giant, expensive public networks onto your own small, private language models that are fast, cheap, and secure.
Operational Focus
We build AI agents that radically improve your prospecting and field operations. Your team does not need to be tech-savvy. In fact, they can be completely non-technical. Instead of forcing your reps to fight with complicated databases or learn clunky software, they just talk or text normally. Our agents handle the complex background entry, find the leads, and update your systems instantly.
If you already use AI tools, you might be wasting money. We help you move off giant, slow, and expensive models (like Claude or OpenAI/ChatGPT) to your own small language models (SLMs). These tiny models run up to 10 times faster and can save you up to 90% on your monthly software bills, while keeping all data 100% private.
You do not need to hire developers or train your staff on complex software. In fact, our agents let your team be less tech-savvy, not more.
If your field reps can send a text or leave a quick voicemail, they can run our high-speed systems. The agent handles all the hard database typing and lead research behind the scenes. Your team spends less time looking at screens and more time talking to buyers.
Smart systems automatically plan truck delivery paths and route load papers to the right teams.
Computers read complex client files, scan pages, and paste the exact information into your database systems.
Inbox helpers read purchase requests, check stock numbers, and email buyers exact prices automatically.
Imagine a truck driver or a field representative speaking directly into a phone app. Watch how our AI agent instantly listens, understands context, and updates the central office database in real-time.
Click "Run Agent Parser" to watch spoken text automatically save to structured rows
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Slide the handle to show your company's monthly work runs. Instantly compare renting general public networks like Claude with owning a private, fine-tuned Small Language Model (SLM).
Think of this as model right-sizing. Right now, companies use massive public models to do very simple, basic jobs. Using Claude or OpenAI/ChatGPT to read a simple database email record is like renting a giant Boeing 747 jet just to drive down the block to buy a loaf of bread. It is slow, highly wasteful, and costs far too much.
Instead, we install a small, specialized, private language model. Because it is fine-tuned to do just your specific jobs, it runs circles around general public models.
We swap multi-trillion word models with simple, task-focused 1B to 8B models that process exactly what you need.
Response times drop from several seconds to under 500 milliseconds. Information flows instantly.
We host your system inside your own closed servers. Your customer and company data never leaves your company walls.
Most tech agencies send you fancy slideshow presentations and leave. Others build code inside isolated sandbox boxes that break the second you plug them into real, live databases. We don't do either of those.
Our Senior Forward Deployed Engineers jump right into your company Slack, get sandbox access to your digital tools, write native code side-by-side with your existing tech, and deploy systems with absolutely zero hand-off risk.
| Comparison Metric | Consulting Firms | Outsourced Dev Shops | Inside Rep FDE Team |
|---|---|---|---|
| Primary Deliverable | Static PowerPoint slides & PDFs | Generic software in a sandbox | Native production agents & SLMs |
| Integration Method | None (High-level suggestions) | Isolated APIs with API keys | Direct Slack, tool, and database access |
| Hand-Off Risk | Extreme (You must figure it out) | High (Breaks on real-world edge cases) | Zero (We stay and manage the code) |
| System Security | No custom infrastructure | Your data is stored on third-party clouds | Full private servers (100% cloud secure) |
| Speed and Execution | Slow 3-6 month process | Long product specs, slow revisions | First live working pipeline inside 14 Days |
Hear Nick and Sarah break down the exact math behind small language models, running speeds, and our direct-development work model. Click play to start narration.
Welcome. Today we are breaking down why businesses are moving away from massive public models. Nick, can you explain the main problem?
Absolutely, Sarah. Most companies use Claude or OpenAI/ChatGPT for simple data and typing jobs. It is like renting a giant spaceship to cross the street. You waste thousands of dollars.
Right, and it is also slow. How does an SLM solve that speed problem?
Small language models are tiny and focused. Because they only do one job, they give you answers in under 400 milliseconds, instead of waiting 3 whole seconds.
That is incredibly fast. And how does your engineering team actually implement this for standard non-tech businesses?
Our Forward Deployed Engineers sit right inside your Slack. We write the software, connect it directly to your databases, and make sure it never breaks. Zero risk to you.
We built a mini briefing to discuss our strategy. This audio player utilizes advanced, browser-native text-to-speech technology.
Listen to how our engineering system turns standard company workflows into fast, private tools, saving thousands in software costs.
Ready to build your first GTM agent or migrate to a private, fast model? Estimate your company's immediate weekly savings, review our direct access hotlines, or schedule a free 15-minute consultation slot.
Find out how much time and money AI agents can win back for your business.
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