Automate operations now
Closed scope, fast delivery, production engineering. We take one critical manual process and make it reliable without ripping out your stack.
Thesis
AI cut software build cost. Running real companies is still hard.
Building software got cheaper. Operating a real business did not. SMBs still spread critical work across WhatsApp, spreadsheets, email, ERP, CRM, payment gateways, and fiscal issuers. The result is rework, errors, and low visibility into the money and the work.
WhatsApp
Spreadsheets
Email
ERP
CRM
Gateways
Fiscal issuers
What we do
Two levers. One flywheel.
We close the gap between messy operations and durable software.
Turn knowledge into recurring B2B software
Every engagement teaches us how operators actually work. That process knowledge becomes reusable products with tenancy, billing, and AI in the loop.
Lab + ClaudeOps
One critical process. Up to 14 days. Systems stay.
Priority Lab offer: we automate one critical manual process in up to 14 days without replacing current systems.
Who it is for
- B2B SMBs stuck on WhatsApp, email, and spreadsheets
- Teams that copy-paste between systems every day
- Manual reports, triage, and follow-up work
- Backoffice that cannot keep up with growth
What you get
- AI agents with human-in-the-loop controls
- Financial, ops, and commercial automation
- Integrations, logs, approvals, and retries
- Custom software when the process needs it
- Ongoing ops support after go-live
Differentiator
Full-stack engineering, applied AI, and process understanding. Not no-code glue.
Product · Agnozys
Charge to reconciliation, end to end.
Agnozys runs the money flow: charge, payment, split, invoice, reconciliation, then AI-assisted action when something breaks or needs a decision.
Charge
Payment
Split
Invoice
Reconciliation
AI action
Ideal customers
Financial BPOs
Operators who collect, split, and reconcile for many clients from one stack.
Advisory and digital accounting
Firms that need fiscal emission tied to real payment events, not after-the-fact cleanup.
B2B platforms with payouts
Marketplaces and multi-recipient ops that need rules, splits, and exception handling.
Moat
- Multi-tenant architecture built for operators, not single-shop tools
- Payment abstraction across providers
- Charge and split rules in the product, not in spreadsheets
- Fiscal emission inside the money flow
- Reconciliation and exception handling as first-class work
- Agnozys MCP for agent-driven ops
- Actionable Reports that lead to decisions, not just dashboards
How the flywheel works
Services fund learning. Learning funds products.
We run AI-first internal ops, prove methods in the Lab, deliver ClaudeOps sprints for cash and process learning, package reusable skills and connectors, then ship products like Agnozys that feed back into how we operate.
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1
Internal AI-first ops
We run our own work with agents, logs, and human approval.
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2
Lab methods and proof
Closed-scope engagements stress-test what actually works in production.
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3
ClaudeOps sprint
Cash, trust, and deep process learning from real operators.
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4
Reusable skills and connectors
Integrations and playbooks become assets, not one-off scripts.
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5
Products like Agnozys
Recurring B2B software that compounds what we learned in the field.
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6
Back to ops
Product capabilities improve the next Lab delivery and our own stack.
Who we serve
B2B SMBs and operators with fragmented ops and money flows.
We work with companies that already sell and deliver, but still run critical work across chat, sheets, and disconnected systems. Typical partners include BPOs, accounting and advisory firms, and platforms that move money to many recipients.
B2B SMBs
Growing teams drowning in manual ops between tools that do not talk.
BPOs and accounting
Multi-client operators who need tenancy, fiscal flow, and reliable reconciliation.
Platforms with payouts
Products that collect, split, and settle across many parties and rules.
Why Kactuz
Five reasons operators choose us.
Technical founder who sells and ships
Direct access to the person who designs, builds, and owns the outcome.
Real engineering
TypeScript, React, Node, multi-tenant systems, billing, events, and applied AI in production.
Products in production
We do not stop at decks. Software ships, runs, and gets maintained.
Lean, AI-amplified model
A small excellent team multiplied by agents, not a large agency bench.
Services to software flywheel
Every delivery compounds into reusable product surface area.
Founder
Gustavo Henrique
Founder & CEO
Software engineer and product operator with 5+ years shipping production SaaS. Vision: a small excellent team amplified by AI agents, building both client outcomes and durable products from the same engine.
Talk about the next product or partnership
Lab sprints, Agnozys, or building recurring software from your operations. Direct reply by email.