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AI Software Engineering Lab

Ideas become working systems.

We build production AI agents, automations, and SaaS platforms that ship. Precision instruments for digital products that matter.

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Trusted by teams who ship

Built for precision,
engineered for reliability.

ACME CORP
NEXTERA
STRATOS
VELOX
MERIDIAN
LUMINARY
2,500+%
Systems shipped
99.9%%
Uptime SLA
180+%
Active clients
42%
Open repos
SOC 2 Type II ready
Zero-trust content isolation
Strict runtime schemas
Type-safe interfaces
99.9% resolved incidents
"
Averolab delivered a production-grade AI agent pipeline in six weeks. Zero downtime, clean code, and a team that actually understood the domain. This is the kind of engineering partner you want when it matters.
Sarah ChenCTO, TechNova Solutions
Production Systems

Production Systems

We build production-grade AI systems and SaaS platforms. Here are some of our real, shipping projects.

Prototype

Azura Heaven

Upcoming AveroLab build currently in early development. Details, screenshots, and the live site will be published when the first production release is ready.

React 19TypeScript
Production

BidPilot

AI-powered RFP analysis and bid writing assistant that helps small businesses find relevant government contracts, analyze requirements, and produce winning proposals.

React 19ViteTypeScriptTailwind CSS
Beta

CallPilot

Automated front-desk and web receptionist SaaS providing transparent conversational lead capture, qualification scoring, and appointment scheduling.

React 19ViteTypeScriptTailwind CSS
View system
Production

LeadRescue

AI lead-response and recovery platform that instantly drafts rule-safe replies to inbound leads, scores them, and runs human-approved follow-up across email and SMS.

React 19ViteTypeScriptTailwind CSS
Production

QuoteForge

Professional proposal, quote, and invoice generator for freelancers and agencies with templates, PDF export, and client-ready document workflows.

React 19ViteTypeScriptTailwind CSS
Beta

ReviewFuel

Customer review intelligence platform that transforms authentic feedback into source-linked marketing assets and sentiment insights.

React 19ViteTypeScriptTailwind CSS
View system
Production

UtilityForge

High-performance browser workbench featuring 269 local-first calculation, conversion, formatting, and analysis tools with zero server transmission.

React 19Next.jsTypeScriptTailwind CSS
View system
FAQ

Common questions

Direct answers to what teams actually ask before they start a project.

What is an AI software engineering lab?
An AI software engineering lab is a specialized development practice that combines AI agent development, custom automation systems, and modern SaaS platform engineering. We build production-grade AI-powered products: agents that reason and act, automations that run reliably, and full-stack platforms that scale.
What are custom AI agents?
Custom AI agents are purpose-built software systems that can perceive, reason, and take action on your behalf. Unlike off-the-shelf chatbots, they integrate deeply with your data, workflows, and tools. We design them around your specific use case, whether that is a sales agent, a support agent, an operations agent, or something entirely new.
What does an AI SaaS development company actually deliver?
We deliver production-ready AI systems: trained agent pipelines, type-safe backend APIs, responsive frontends, and the infrastructure to run them reliably. We work end-to-end, from architecture and prototyping through to deployment and monitoring, with strict attention to runtime safety and observability.
Why is Next.js a good choice for AI SaaS?
Next.js provides a full-stack React environment with server components, API routes, and edge runtime support. That makes it well-suited for AI SaaS: the frontend can render dynamic agent outputs, the backend can handle streaming responses, and deployment is straightforward across Vercel and self-hosted options.
How do you build AI automation for business?
We start with your existing workflows and identify the highest-leverage automation opportunities. From there we design, prototype, and ship agents that integrate with your tools via type-safe interfaces. Every automation ships with observability built in, so you can see exactly what it did and why.
Systems we designed, built and ship
Capabilities

What we build

A precision instrument for every stage of your product journey.

AI Product Engineering

Full-stack AI applications with LLM integration, RAG pipelines, agent frameworks, and production-grade inference infrastructure.

  • LLM orchestration
  • RAG & vector search
  • Multi-agent systems
  • Inference optimization

Web & Mobile Applications

High-performance web apps and cross-platform mobile experiences built with modern stacks and native-level polish.

  • Next.js / React
  • React Native / Expo
  • Real-time features
  • Offline-first PWA

Cloud Infrastructure

Scalable, resilient infrastructure on AWS, GCP, and Vercel. CI/CD pipelines, observability, and cost optimization.

  • Kubernetes / ECS
  • Terraform / Pulumi
  • Observability stack
  • Zero-downtime deploys

Technical Due Diligence

Independent architectural review for investors, acquirers, and leadership teams. Actionable risk assessment with remediation paths.

  • Architecture audit
  • Security assessment
  • Code quality review
  • Scalability analysis
About AveroLab

An engineering
laboratory, not
an agency.

We are a focused team of engineers, designers, and AI specialists who believe that great software is a craft discipline. Every project gets the same careful attention we would give our own products.

We do not take every engagement. We take the ones where we can make a genuine difference, and we tell you when we are not the right fit.

40+ Products shipped
8 Years in operation
12 Team members
Technical Proof

Tools we've mastered

Deep expertise across the modern engineering stack. No framework is off-limits.

AI & Data

Claude GPT-4 LangChain LangGraph LlamaIndex vLLM Ollama Weaviate Pinecone ChromaDB Apache Kafka dbt

Web & Mobile

Next.js 15 React 19 TypeScript React Native Expo Tailwind v4 Framer Motion GSAP tRPC Prisma Drizzle

Infrastructure

Vercel AWS GCP Cloudflare Kubernetes Docker Terraform GitHub Actions Datadog PostgreSQL Redis
99.97% Average uptime
<120ms Median API latency
50M+ Daily requests handled
0 Security incidents
Engagement Models

Precision pricing

Three tiers. No hidden costs. Scope locked before we start, not after.

Foundation
$ 15k /project

MVP, prototype, or focused feature build. Delivered in 4-6 weeks.

  • Full-stack Next.js or React Native
  • LLM / AI integration
  • Cloud deployment
  • 2 rounds of revision
  • Source code transfer
Start a project
Laboratory
Custom

Ongoing retainer, white-label team, or complex multi-system build.

  • Dedicated team member(s)
  • Sprint-based delivery
  • Slack access
  • Priority roadmap slot
  • Proprietary IP frameworks
Contact us
How we work

Continuous from day one

No handoff culture. We ship incrementally, validate constantly, and refine every sprint.

01

Discovery

We map the problem space, define success metrics, and align on the minimal viable scope that proves the thesis.

02

Architecture

Decisions before code. We draft the data model, API surface, and infrastructure topology before writing a line of product logic.

03

Build

Ship in two-week cycles with a working product at the end of each. Every feature is production-ready, not staged for later integration.

04

Optimize

Measure real usage, instrument performance, and iterate. We stay involved post-launch to push the product toward its ceiling.

Ready to build

Start your
next project.

Tell us what you're building. We'll tell you if we're the right fit.