Agentic-first data platform for small business
Launch AI agents
your business can actually trust
Loxtep connects your tools, manages the context your agents need, and runs the infrastructure behind them — so you can build useful agents without becoming a data engineering team.
Enterprise-grade reliability, without the enterprise team.
Build a support agent that answers order questions and handles exceptions.
Order #4821 shipped yesterday and is out for delivery today. The refund on the duplicate charge was approved and posts in 2–3 business days.
Answered from live orders and billing — with permissions enforced.
The context layer
Who owns your business knowledge?
Point ChatGPT, Claude, and your team at CRM, payroll, and accounting — and hope the AI puts the picture together correctly. With Loxtep, your tools connect once. Your people and every AI app get the same trusted answers, under rules you own.
AI tools wired to sources
Tools
Claude
own context
GPT
own context
Gemini
own context
Assembled answer?
maybe… inferred… guessed
Fragmented — not transferable between models
owned by the model
Knowledge assembled in the model
Users and agents depend on the AI vendor to stitch context — you do not own how it fits together.
Through Loxtep
One connection
You own the context layer
Users, agents, and AI tools share one governed connection — your definitions, your rules.
What you focus on
You build the agent. We handle everything underneath.
The reason agents fail is not the model — it is everything around it. Loxtep takes the parts that turn into a data engineering project off your plate.
You focus on the agent
- Decide what your agent should do and how it should behave.
- Point it at the outcomes your business actually cares about.
- Ship it to your customers and your team.
Loxtep handles
Data integration
Connect the tools you already run — orders, tickets, CRM, docs, spreadsheets — and Loxtep keeps the data flowing in, no pipelines to babysit.
Context management
Loxtep gives your agents approved definitions, live business data, and process rules — so they answer from what is true, not what they guessed.
Infrastructure
Streaming, storage, permissions, and scaling run underneath. No servers, no data plumbing, no 2 a.m. incidents to own.
Why agents stall
Most agent projects never leave the pilot
Demos are easy. Production is hard — especially when your data, tools, permissions, and infrastructure were never set up for an agent to rely on. That gap is where budget goes to die.
The data isn’t trustworthy
Agents act fast. If they read stale exports, conflicting definitions, or scattered spreadsheets, a wrong answer stops being embarrassing and starts being a business problem.
What Loxtep handles
Live business data and approved definitions — context your agent can rely on instead of inventing.
Integration becomes the whole project
A useful agent usually needs several systems working together. For a small team, wiring that up quietly turns into the job — not the agent.
What Loxtep handles
Loxtep connects your tools and builds the data foundation with you, so integration isn’t a side quest.
There are no guardrails when the agent acts
Handing an agent access without clear permissions, scopes, and an audit trail feels risky because it is — especially when you don’t have a security team to backstop mistakes.
What Loxtep handles
Fail-closed permissions, human approval where it matters, and a record of what changed and why.
Not every “agent” is an agent
Plenty of tools wear the label but only chat over documents or fire rigid triggers. That’s not the same as something that can reason across your business and act on live context.
What Loxtep handles
A real foundation for agents that plan, act, and stay connected to how your business actually runs.
Your team becomes accidental data engineers
If getting an agent live means pipelines, schemas, and weekend debugging, most small businesses stall at the prototype — no matter how good the model is.
What Loxtep handles
Describe the outcome in plain language. Loxtep’s platform helps implement the plumbing — you stay focused on the agent.
There’s no first job to point at
“Let’s try AI” drifts. Agents ship when they’re tied to a specific job your team already cares about — with a clear before and after.
What Loxtep handles
Start with a concrete wedge: support, ops, revenue, onboarding, or reporting — not a science project.
Infrastructure becomes your problem
Storage, sync, permissions, and scaling underneath an agent is a second product most teams never meant to build — and can’t afford to maintain.
What Loxtep handles
The platform runs underneath. You don’t babysit servers or own 2 a.m. data incidents.
Loxtep is the foundation underneath — data, context, governance, and infrastructure handled — so you can launch agents your business can actually trust.
How it works
From an idea for an agent to one your business can rely on
Describe the agent you want. Loxtep builds the data foundation with you — AI-assisted, human-approved — so the agent ships reliable, not risky.
Most projects die between pilot and production. Loxtep is built to get you past that gap.
Tell Loxtep what agent you want
"I want a support agent that can answer order questions and handle exceptions." Start from the outcome, in plain language.
Loxtep figures out what the agent needs
The platform identifies the systems, entities, workflows, and definitions your agent needs — and what context is missing.
The platform builds the foundation with your approval
Loxtep proposes the workflows and definitions, shows its evidence, and asks for your decision where human judgment matters.
Your business agent gets trusted context
The data becomes AI-ready and available to your agents through chat, MCP, SQL, or your app — reliable and current.
AI-assisted implementation. Human-approved trust. A reliable agent at the end. The technical details live on the platform page.
Use cases
The first agents you can launch
Start with one job that eats your team's time. Each of these runs on live business data and stays inside the rules you set.
Support agent
Answers order, status, and account questions for customers and staff.
What it needs
Live orders, tickets, and customer records across your tools.
Reads current data and respects who is allowed to see what.
Bad data, disconnected systems, and confident wrong answers.
Ops agent
Checks exceptions, updates records, and coordinates handoffs across systems.
What it needs
Workflow state, inventory, and process rules from multiple apps.
Follows your process and leaves a trail of what it changed and why.
Integration sprawl and brittle cross-tool automations.
Revenue agent
Follows up on quotes, invoices, renewals, and account questions.
What it needs
Current CRM, billing, and customer context in one place.
Acts on live account data, not a stale export from last week.
Pilot purgatory — a measurable outcome from day one.
Onboarding agent
Guides new customers or employees through process-specific steps.
What it needs
Your playbooks, product data, and account setup state.
Uses the approved process, not a best guess from a wiki.
Skills gap — your team approves the process, the agent scales it.
Reporting agent
Answers business questions with governed numbers on demand.
What it needs
Metric definitions and live data across your systems.
Uses one canonical definition, so the numbers actually agree.
Spreadsheet archaeology and conflicting definitions.
Why your agents are reliable
Enterprise-grade reliability, without the enterprise team.
“Reliable and accurate” is not a promise — it is what the platform enforces underneath every agent you launch.
Connected to live systems
Agents read current business data, not stale exports or scraped dashboards.
Approved business context
Definitions and process rules are reviewed and approved, not invented on the fly.
Respects permissions
Every agent stays inside the access and scopes you set — fail-closed by default.
Full audit trail
See what changed, why, and who approved it. Nothing happens in the dark.
Improves with use
Successful patterns become reusable context, so your next agent starts smarter.
It gets better over time
Your agents get smarter as your team uses them.
Every time an agent handles a task, Loxtep learns what worked. Those patterns become reusable context — so your next agent inherits what the last one figured out, instead of starting from scratch. And that knowledge stays yours, in your account, no matter which AI model you use.
The loop repeats — every week your agents know a little more about how your business actually runs.
Pricing
Pay for the agents you run, not for idle infrastructure
We're finalizing pricing ahead of general availability — built for small business budgets, usage-based around connected tools and agent activity. Join early access to lock in launch rates.
How we'll price
Designed so your agents grow with your business, not your bill.
- Priced for small business, not enterprise procurement
- Usage-based — pay for connected tools and agent activity
- Free tier to launch your first agent
- No surprise overages — clear usage dashboards
- No long-term contracts required
- Start small, grow as your agents do
- Bigger plans available as you scale
Join the waitlist
Be among the first to launch reliable AI agents — with data, context, and infrastructure handled for you.
- Full platform access during beta
- Direct Slack channel with the founding team
- Hands-on help launching your first agent
- Locked-in launch pricing when we go GA
- Shape the roadmap — your feedback drives what we build
- Private community of founding users
- Reliable from day one — permissions and audit trails included
Stop wrestling with data plumbing. Start launching agents that work.
Join the waitlist for early access. Tell Loxtep what agent you want, connect your tools, and ship an agent your business can actually rely on — without building a data engineering team.
Enterprise-grade reliability, permissions, and audit trails — without the enterprise team.