Strategy first. Reliability always.
Every engagement starts with understanding the problem, your data, and your systems, before a single line of code. Then we build for the conditions real customers create, and stay with the system after launch.
Engagements
From first conversation to a system that holds up
Step 01
Strategy and architecture
We map the problem, the data, and the systems involved, then recommend the architecture that will hold up. You get a clear plan before you commit.
Step 02
Build on proven components
We configure and extend the Lab378 platform around your workflows, integrations, and brand voice.
Step 03
Launch in phases
We go live where the impact is clearest and the risk is lowest, then expand as each part proves itself.
Step 04
Monitor and improve
We measure against the numbers you already track and keep tuning, so performance holds month after month.
Why Lab378
Reliability is the product.
An impressive demo is easy. A system that survives real traffic, real edge cases, and real customers, month after month, is not.
That reliability is what we sell, and it comes from four principles behind every system we build.
01
Narrow jobs, not one generalist
Each agent does one scoped task: triage a message, track a deadline, draft a reply. Scoped work behaves predictably and can be tested properly.
02
Human sign off on anything risky
Anything with legal or reputational exposure goes to a person before it goes out. Closed, low risk tasks are handled directly.
03
One record across every channel
Every call, text, and email flows into the same record, so the channel can change without the data splitting apart.
04
No dependence on manual admin
The record is built from what actually happened, not from fields someone remembered to update. It stays current on its own.
A question about a neighbourhood or a school can carry fair housing risk. A generalist assistant answers it like any logistics question. Livia, our own real estate system, recognises the difference and routes it to the agent for sign off, while handling scheduling and logistics on its own.
What is Lab378?
Lab378 is an applied AI lab. We design, build, and run custom conversational AI systems for businesses, and we have been shipping them into production since 2024.
Is this just a chatbot?
No. A chatbot answers questions. The systems we build take action: they qualify leads, book appointments, look up records, trigger workflows, and hand a conversation to a person when it needs one.
What is the Workflow Intelligence Repository?
It is the foundation under every system we build. It automatically captures calls, messages, emails, CRM data, and system events, reconciles them into one accurate record, and writes back into your CRM so it stays correct without manual updates. Every AI agent we build works from it.
Who do you work with?
Businesses where conversations outpace people: high volumes of inbound calls, leads that go cold, repetitive service requests, and CRMs nobody keeps up to date. Our most detailed proof is in real estate through Livia, and the same engineering applies to any team with high volume conversations or complex internal knowledge.
Can you integrate with the systems we already use?
Yes. Integration is core to every build. We connect into CRMs, ERPs, calendars, and internal knowledge bases so the AI works from real context and writes results back where your team expects them.
Which channels do you support?
Voice, SMS, email, and web chat, either on their own or as one system running across all of them, so a customer can move between channels without starting over.
How does an engagement start?
Usually with strategy and architecture. We map the problem, your data, and the systems involved, then recommend an approach before any code is written. You get a clear plan before you commit to a build.
Can the AI sound like our brand?
Yes. Every system is tuned to your tone and terminology. Livia, for example, writes in each agent's own voice so leads experience one continuous relationship.
How do you measure performance?
We agree the metrics up front and report against them after launch. For Livia that means qualified pipeline generated, lead engagement, and median response time. For your project it will be the numbers your business already tracks.
How do you keep our data secure?
Data handling is designed in from the start, during architecture. Retrieval systems answer from your own documents and records without exposing them more widely, and access is scoped to what each part of the system needs.
How is Livia related to Lab378?
Livia is Lab378's own product for the real estate market. We built it, we run it, and it shows what our engineering delivers in production. Visit withlivia.com to learn more.
Start a project
Have a system in mind? Let's talk about what it takes to run it for real.
Tell us what you want to build. We will come back with honest questions, a view on architecture, and next steps.