Now taking Q2 2026 engagements

Ship AI features in weeks, not quarters.

We embed AI agents, copilots, and automation into your existing stack -- and security-harden everything we ship. No buzzwords, no bloated timelines.

AI-powered dashboard with integrated AI agents and automation
AI integrations shipped to production Built on Azure & Google Cloud Security-hardened by default

Turn AI from roadmap item to shipped feature

Your competitors are shipping AI features. We help you catch up -- or stay ahead. Securely, and on your timeline.

01

AI Integration

We build LLM-powered agents, copilots, and automation directly into your codebase -- not in a sandbox that never ships. Production-grade AI features, integrated into your existing stack.

  • AI agents and copilots embedded in your product
  • LLM-powered automation pipelines
  • RAG systems and knowledge bases
  • Custom model fine-tuning and evaluation
02

AI Security

Every AI integration is an attack surface. We test for prompt injection, data exfiltration, and model abuse before your users find the holes -- so you ship with confidence.

  • Prompt injection and jailbreak testing
  • Data leakage and exfiltration audits
  • Model abuse and misuse assessment
  • EU AI Act risk assessment guidance
03

DevSecOps

Security baked into every stage of your pipeline -- not bolted on at the end. We embed automated security checks into your CI/CD so vulnerabilities are caught before they reach production.

  • CI/CD pipeline security hardening
  • Automated vulnerability scanning and SAST/DAST
  • Infrastructure as Code security reviews
  • Container and cloud-native security

From first call to production in 6 weeks

Every engagement follows the same three-phase structure -- so you always know what to expect and when.

01

Discovery

We map your current systems, identify where AI creates real value, and define a clear scope. You get a written proposal within one week.

02

Build & Integrate

We don't work in a separate repo. We're in your codebase, your CI/CD, your Slack. Every two weeks, you get a working demo -- not a progress report.

03

Ship & Secure

Production deployment with security hardening, monitoring dashboards, and documentation your team can maintain. We stay on for 30 days post-launch.

What you walk away with

Not prototypes. Not proof-of-concepts. Production-grade results you can see, measure, and maintain.

Working AI in production

Not a demo, not a sandbox -- production-grade AI features running in your app, serving real users.

# your_app/ai_service.py
from openai import AsyncOpenAI
async def generate_response(prompt):
client = AsyncOpenAI()
resp = await client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": prompt}]
)
return resp.choices[0].message.content

Security-hardened

Every integration pen-tested for prompt injection, data leakage, and model abuse before it ships.

$ ai-security-scan --full
PASS | Prompt injection defense
PASS | Data leakage prevention
PASS | Model abuse rate limiting
PASS | PII redaction filters
PASS | Output validation layer
---
5/5 checks passed -- ready for prod

6-week delivery

From first call to production deployment. Guaranteed timeline with 2-week sprint milestones.

Sprint 1 DONE
Discovery + Architecture
Sprint 2 IN PROGRESS
Core AI Integration
Sprint 3 PENDING
Security + Ship

Built by us, powered by AI

We don't just consult — we build. These are products we've created to prove what AI integration looks like when done right.

f(x)
Waitlist open

MathSketch

An iPad app that turns handwriting into AI-powered math tutoring. Write with Apple Pencil, get instant feedback, and learn step by step.

Apple Pencil Gemini AI iPad Education
Join the waitlist
In development

Tabula

AI-powered vulnerability management platform. Automatic triage, intelligent prioritization, and remediation workflows that actually reduce your attack surface.

Vulnerability Management AI Triage Enterprise
Request early access

Why companies choose us

We're not a big consultancy learning AI, and we're not freelancers without a track record. We're engineers who build with AI every day.

Cloud-Native

We deploy on Azure, Google Cloud, or whatever your team already runs. No vendor lock-in.

Azure Azure
GCP GCP
AWS AWS
Vercel
Docker Docker
Kubernetes K8s

Security-First

Every AI integration is security-hardened by default. Not an afterthought.

Prompt injection testing
Data leakage analysis
Model abuse assessment
PII redaction audit
Rate limiting & guardrails
OWASP LLM Top 10 review

AI-Native Team

Engineers who build with AI daily -- not consultants learning on your project.

import { generateText } from "ai"
import { anthropic } from "@ai-sdk/anthropic"
const { text } = await generateText({
model: anthropic("claude-sonnet-4-20250514"),
system: "You are a helpful assistant",
prompt: userQuery,
maxTokens: 2048,
})

Shipping Since 2024

Products in production, not just slide decks. We prove it by building our own.

deploy mathsketch-v2.4.1 success
2m 14s · us-east-1 · 3 min ago
deploy tabula-api-v1.8.0 success
1m 47s · eu-west-1 · 12 min ago
deploy emotion-ai-v3.1.2 success
3m 02s · us-west-2 · 1 hr ago
We build on
Microsoft Azure OpenAI Anthropic Google Cloud Supabase
Current engagement

Helping EmotionMobility integrate AI into their Azure-based global mobility platform -- from DevSecOps foundations to AI-powered features serving users worldwide.

Common questions

How is this different from hiring an AI engineer?

We come with a proven process, security expertise, and a team that has already solved the integration problems your hire would spend months figuring out. We ship in weeks, not quarters -- and you don't carry headcount after we leave.

Do you work inside our codebase or deliver separately?

Inside your codebase, your infrastructure, your CI/CD. We don't hand off a zip file. When we leave, your team can maintain everything because they've watched it being built.

What if we already have AI features but they're not secure?

We audit first, then harden. Prompt injection testing, data leakage analysis, model abuse assessment. We can secure what you have without rebuilding it from scratch.

What's the typical engagement size?

Most engagements run 6-12 weeks. We scope everything in a free discovery call -- no commitment until you see a written proposal with clear deliverables and timelines.

Do you work with our cloud provider?

We work primarily on Azure and Google Cloud but adapt to your stack. We've shipped on AWS, Vercel, and hybrid setups. If it runs containers, we can work with it.

Get in touch

Let's build something intelligent.

Whether you need AI integrated into your product, your workflows secured, or both -- tell us about your project.

Or email us directly at vjunqueira@intelligentsialab.ai