“Velixor rebuilt our claims intake with AI agents. What took 40 minutes per claim now takes 90 seconds — and accuracy went up, not down.”
Marta Feldman
Chief Operating Officer · Northbridge Insurance
AI Software Studio · Est. 2019
Building Intelligent Software
for Modern Businesses.
We help companies automate operations, build intelligent software, create AI agents, and launch scalable digital products.
Trusted by teams in 27 countries
Partner platforms powering our deployments
Google CloudMicrosoft AzureAWSOpenAIStripeTwilioSupabaseMongoDBVercelCloudflareGoogle CloudMicrosoft AzureAWSOpenAIStripeTwilioSupabaseMongoDBVercelCloudflare
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Projects Delivered
0
Countries Served
0%
Client Satisfaction
0+
AI Automations
0.0M+
Hours Saved
Capabilities
Everything you need to build with AI.
One senior team across strategy, design, engineering and machine learning — so nothing is lost between disciplines.
AI Agents
Autonomous agents that plan, reason and execute real business work end to end.
- Multi-step reasoning
- Tool + API calling
- Human-in-the-loop
AI Chatbots
Support and sales assistants grounded in your own knowledge base.
- RAG pipelines
- Omnichannel
- Escalation logic
Voice AI
Realtime voice agents for inbound, outbound and IVR replacement.
- Sub-500ms latency
- Twilio / SIP
- Call analytics
Workflow Automation
Replace manual handoffs with reliable, observable automated flows.
- n8n / Make
- Event-driven
- Audit trails
Business Automation
Back-office automation across finance, ops, HR and procurement.
- Doc processing
- Approvals
- ERP sync
SaaS Development
Multi-tenant products built for scale, billing and compliance from day one.
- Multi-tenancy
- Stripe billing
- SOC2-ready
Selected work
Products in production.
Real systems, real numbers, running every day for teams across four continents.
Live demo
Describe your problem. See the plan.
A simplified version of the scoping engine our strategists use on discovery calls.
Velixor Solution Architect
Tell the architect what you want to build.
Why Velixor
Compare us honestly.
Three ways to build software. Here is where each one genuinely wins — and where it does not.
Criteria
Velixor LabsRecommended
Traditional Agencies
Freelancers
Speed to first release
4–6 weeks
4–9 months
Unpredictable
Engineering quality
Senior-only, reviewed
Mixed seniority
Varies per person
Communication
Weekly demos, shared Slack
Monthly status decks
Ad hoc messages
AI expertise
Core discipline, in-house
Outsourced or new
Usually limited
Security & compliance
SOC2-aligned by default
Add-on engagement
Rarely addressed
Maintenance
SLA-backed retainer
Separate contract
Best effort
Scalability
Architected for 100x
Scoped to brief
Scoped to task
Our process
Eight stages. One accountable team.
A delivery method refined across 240 engagements. Hover any stage to see what you actually receive.
01
Discovery
Understand the real problem.
02
Strategy
Decide what is worth building.
03
Design
Make it obvious to use.
04
Development
Ship every single week.
05
AI Integration
Wire in the intelligence.
06
Testing
Break it before users do.
07
Deployment
Go live without drama.
08
Maintenance
Keep improving forever.
Featured technologies
A stack chosen for longevity.
We pick boring, proven infrastructure — and spend our creativity where it changes the outcome.
Frontend
React
Component architecture for interfaces that stay maintainable at scale.
Industries
Domain depth, not generic AI.
We have shipped production systems in regulated, high-stakes environments — and we know what breaks.
Healthcare
Clinical intake, triage & records automation
Finance
Risk, reconciliation & advisory copilots
Real Estate
Lead qualification & listing intelligence
Education
Adaptive learning & admin automation
Retail
Merchandising & support agents
Logistics
Routing, tracking & exception handling
Manufacturing
Predictive maintenance & QA vision
Legal
Contract review & discovery copilots
Insurance
Claims triage & fraud detection
Hospitality
Voice booking & guest experience AI
Client testimonials
Trusted by operators who measure everything.
Not marketing quotes — feedback from the people accountable for the numbers we moved.
“The most senior engineering partner we have worked with. They shipped a multi-tenant SaaS in eight weeks that our board budgeted a year for.”
Daniel Okoye
Chief Executive Officer · Ledgerline Capital
“Their voice AI handles 68% of inbound calls end to end. Patients genuinely prefer it to our old phone tree — that still surprises me.”
Aisha Rahman
Clinical Director · SmartClinic Group
“Design quality on par with Linear or Stripe, paired with real machine-learning depth. That combination is genuinely rare.”
Lucas Meyer
VP of Product · Verta Retail
“ROI turned positive in month three. We have since expanded the engagement three times without a competitive process.”
Sofia Marchetti
Chief Financial Officer · Portside Logistics
“They embedded with our team, set the architecture, then handed it over cleanly. No lock-in, no mystery code. Exactly what we needed.”
Ethan Caldwell
Head of Engineering · Helpstack
“Velixor rebuilt our claims intake with AI agents. What took 40 minutes per claim now takes 90 seconds — and accuracy went up, not down.”
Marta Feldman
Chief Operating Officer · Northbridge Insurance
“The most senior engineering partner we have worked with. They shipped a multi-tenant SaaS in eight weeks that our board budgeted a year for.”
Daniel Okoye
Chief Executive Officer · Ledgerline Capital
“Their voice AI handles 68% of inbound calls end to end. Patients genuinely prefer it to our old phone tree — that still surprises me.”
Aisha Rahman
Clinical Director · SmartClinic Group
“Design quality on par with Linear or Stripe, paired with real machine-learning depth. That combination is genuinely rare.”
Lucas Meyer
VP of Product · Verta Retail
“ROI turned positive in month three. We have since expanded the engagement three times without a competitive process.”
Sofia Marchetti
Chief Financial Officer · Portside Logistics
“They embedded with our team, set the architecture, then handed it over cleanly. No lock-in, no mystery code. Exactly what we needed.”
Ethan Caldwell
Head of Engineering · Helpstack
Hover to pause
Resources
Everything we know, written down.
The internal frameworks we use on client engagements — free, no email wall on the summaries.
Whitepaper
The Enterprise AI Agent Playbook
Architecture patterns, guardrails and evaluation strategy for agents that run unsupervised in production.
38 pagesDownload
Template
Automation ROI Calculator
The exact model we use to quantify payback before a single line of code is written.
XLSXDownload
Checklist
AI Readiness Checklist
Score your data, processes, team and governance before committing budget to an AI programme.
24 checksDownload
Guide
Multi-Tenant SaaS Guide
Isolation models, billing design and the architecture decisions you cannot reverse later.
52 pagesDownload
Playbook
LLM Security Playbook
Prompt injection, data leakage, PII handling and the controls enterprise buyers ask about.
31 pagesDownload
Ebook
From Pilot to Production
Why 78% of AI pilots stall — and the operating model used by the ones that ship.
64 pagesDownload
FAQ
Questions, answered.
Still unsure? Book a free 30-minute consultation and get specific answers about your project.
Discovery usually begins within 5 business days of signing. Most engagements have a working prototype in the client's hands within three weeks.
One considered email a month.
Field notes on AI architecture, automation economics and what we learned shipping it — written by the engineers who built it.
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Let's build something intelligent.
Tell us about your operation. We will come back with an honest assessment, a scope and a number.