How we build AI agents that run real operations
A guide for founders and business leaders: how Avidus works, what we have shipped, and how to start, before you book a call.
What is inside
Fifteen short slides. Jump to any one, or use the arrows to go through in order.
We build AI agents, and the systems they run on
Since 2019, Avidus has helped startups, growing businesses and enterprises replace manual work with software that does the work: agents, automation, data platforms and products, built by the same senior team that scopes them.
Most agents fail before they do any work
The model is rarely the problem. The data underneath is scattered across spreadsheets, inboxes and systems that never talk to each other, so there is nothing for an agent to read, decide on or act against.
So we build the data layer first, and the agent second.
4 promises, and we keep every one
Diagnose before we quote
Every engagement starts with an audit of the process, the data and the systems. You see the findings before you commit to a build.
Data layer first, agent second
We structure the records an agent needs, then put the agent on top, so it works on day one rather than in theory.
Whoever scopes it builds it
The senior people who plan your system are the ones who deliver it, and who answer for it after launch.
Live in weeks, not quarters
AI-assisted engineering means most of our builds go live in three to five weeks.
Two kinds of teams, one way of building
Jump to the track that sounds like you. Both run on the same team and the same method.
Startups and SMBs
You need to ship fast and look credible from the first screen, with senior engineers now, not a hiring plan.
Enterprises
Your operations span sites, systems and teams, and work leaks in the gaps between them. You need agents that run inside your governance.
Credible on the first screen, shipped without a hiring plan
A strong idea, a deadline, and a hiring plan that will not land in time. We give you a senior team that builds now.
Startups and SMBs we have shipped for
Get My Policy · Insurance marketplace
A real-time quoting agent matches plans as visitors compare, so buyers stay 40 to 60 seconds instead of 10 to 15.
Read the case study →Revx Capital · Revenue-based financing
Off WordPress in 3 weeks: a growth engine that explains RBF and routes founders into the CRM with context.
Read the case study →Peer Capital · Venture capital
A machine-readable digital HQ with automated founder onboarding, the base for an agent that qualifies and routes founders.
Read the case study →Work leaks between your systems and teams
Every new site, region or business unit adds records to reconcile across ERP, inboxes and spreadsheets. The data exists, but nobody can act on it fast enough.
Enterprises that closed the leak
Neutrinos · Insurance provider
A computer-vision agent verifies thumbprints on scanned policy documents in under 10 seconds, routing only uncertain cases to a person.
Read the case study →Litig Pro · Legal operations
An agent team reads, tracks and drafts responses to every legal notice, with lawyers approving before anything goes out.
Read the case study →Comply Pro · Compliance operations
A monitoring agent escalates every at-risk obligation: zero missed deadlines, and audit evidence compiled in seconds.
Read the case study →5 service lines, one team answerable for all of them
AI & Agentic Transformation
Agents, GenAI and computer vision built on your data and your cloud.
Process Automation
Workflows that run on their own, from intake to approval to follow-up.
Web Transformation
Sites and platforms structured for buyers, search and AI assistants.
BI Transformation
One data model, and the dashboards leadership actually uses.
Digital Product Engineering
Web and mobile products, from MVP to scale.
3 ways to start with us
Free process audit
We map one process, its data and its systems, and show you where an agent pays back first. No cost, no commitment.
Book the free auditAgentic Sprint
A multi-agent system live on your cloud in four weeks, running a real workflow against a real KPI. You own everything we build.
See the Agentic Sprint →Custom build
Products, platforms and automation scoped after the audit, delivered in milestones by the team that scoped them.
For startups, Nano GCC is a fourth option: a dedicated 10-person team that works as your own engineering centre.
From audit to a system you own
What a week looks like
Standup
A short check-in on progress and blockers, in hours that overlap with yours.
Decisions
Open questions settled with you before they slow the build.
Demo
Working software every week, not slides. You see exactly what shipped.
One owner
A single senior lead who answers for scope, quality and timeline.
8+ technology partners, built on the stack you run
We build on the cloud and tools you already use, and pick the platform that fits the job.
4 steps to your first demo
Tell us what is leaking
Book the free process audit. We will come back with where an agent pays back first, and what it would take to build it.