AI Software Development Company

We design and build AI-native
software, end to end.

Avant Concepts is a software company with a deep focus on artificial intelligence. We partner with founders and product teams to take AI products from concept to production — strategy, design, engineering, and machine learning, delivered as one integrated team.

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Comprehensive AI software, engineered with intention.

Strategy, design, engineering, and ML — delivered as a single team. We take on the full stack so AI products feel cohesive, not duct-taped.

AI Product Development

End-to-end AI-native products where intelligent systems are core to the user experience — not a feature bolted on.

LLM & Generative AI

Production integrations with OpenAI, Anthropic, Google, and open models. Prompt engineering, evaluation, guardrails, and cost-optimized inference.

AI Agents & Automation

Autonomous and semi-autonomous agents that handle research, decisions, and multi-step workflows with tool use, planning, memory, and human-in-the-loop.

RAG & Knowledge Systems

Retrieval-augmented generation grounded in your data. Vector search, hybrid retrieval, document pipelines, and accurate, source-cited answers.

Machine Learning Engineering

Models that ship. Classification, ranking, recommendation, forecasting, NLP, and computer vision — designed for production, not just notebooks.

Custom Model Fine-Tuning

Fine-tuned LLMs, smaller task-specific models, and distillation pipelines when latency, cost, or specialization demand more than the frontier.

Full-Stack Engineering

Modern web apps in React, Next.js, and TypeScript. Backends in Node, Python, and Go. Built for speed, scale, and clean handoff.

Mobile App Development

Native iOS, Android, and React Native apps. We bring AI features to mobile with the same craft as our web work.

MLOps & Cloud Infrastructure

Reliable infrastructure for AI workloads. Serverless and GPU-backed deployments, evaluation pipelines, observability, and cost monitoring.

AI Strategy & Advisory

When the question is "should we build this?" — technical due diligence, model selection, build-vs-buy, and roadmap design.

Data Engineering

Pipelines, warehousing, and feature stores that turn raw data into product intelligence — reliable, observable, and production-ready.

Technical Due Diligence

Independent reviews of AI systems, codebases, and engineering teams for investors, acquirers, and boards making high-stakes decisions.

The tools, models, and platforms we build with.

Provider-agnostic and pragmatic. We pick what fits the workload and the team you have to maintain it.

Models & Providers

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Meta Llama
  • Mistral
  • Hugging Face
  • Replicate
  • Together

AI Frameworks

  • Vercel AI SDK
  • LangChain
  • LlamaIndex
  • OpenAI Agents
  • Anthropic SDK
  • PyTorch
  • TensorFlow
  • scikit-learn

Vector & Search

  • Pinecone
  • Weaviate
  • Qdrant
  • pgvector
  • Turbopuffer
  • Elasticsearch

Web & Mobile

  • Next.js
  • React
  • TypeScript
  • React Native
  • Swift
  • Kotlin
  • Tailwind CSS
  • Node.js
  • Python
  • FastAPI

Cloud & Data

  • Vercel
  • AWS
  • Cloudflare
  • GCP
  • PostgreSQL
  • Redis
  • Supabase
  • Neon
  • Snowflake

MLOps & Evals

  • Modal
  • LangFuse
  • Braintrust
  • OpenTelemetry
  • Sentry
  • PostHog

Where we work.

From consumer apps to regulated environments — we adapt to your domain and its constraints.

Consumer & Lifestyle

Apps that live on phones, in pockets, every day. Personalization, social, dating, wellness, creator tools.

SaaS & B2B

AI-augmented productivity, vertical SaaS, internal tools, and platforms for teams that ship.

Fintech

Underwriting, fraud, document intelligence, and conversational interfaces over financial data.

Healthcare & Wellness

Clinical workflow, patient engagement, and structured extraction from medical text — built to respect compliance.

E-commerce & Retail

Search, recommendations, personalization, and AI shopping experiences that lift conversion.

Media & Creator Tools

Generative content, editing copilots, and AI products built for the people who shape culture.

From concept to production in weeks, not quarters.

A tight, iterative process designed for AI products — where models change weekly and feedback loops matter more than upfront specs.

  1. 01 — Discover

    Understand the problem.

    We dig into the problem, the people you serve, and the constraints. We come out with a clear, shared definition of success.

  2. 02 — Design

    Architect the system.

    System architecture, model strategy, and user experience designed together. Trade-offs surfaced before code is written.

  3. 03 — Build

    Ship working software.

    Tight, weekly iterations. Working software in days, deployable in weeks. We stay close to feedback the entire way.

  4. 04 — Iterate

    Improve in production.

    Telemetry, evaluations, and real usage feed back into the system. AI products get better over time, by design.

Software built with intention.

Avant Concepts was founded on a simple belief: the best software is built by people who care deeply about both the craft and the outcome. We work with a small number of partners at a time so attention never gets diluted.

We're a senior team focused on AI-native products — applications where machine intelligence is core to the experience, not a checkbox feature. We've spent years building with large language models, training and deploying ML systems, and designing the kind of frontend that makes those systems feel like magic.

Our current focus is consumer AI and AI-powered SaaS — products where intelligent systems create genuinely better human experiences. We're based in the United States and work remotely with founders, operators, and product teams worldwide.

Frequently asked questions.

What does Avant Concepts do?

We're a software development company specialized in AI-native products. We design, build, and ship full applications — from frontend and mobile to backend, ML models, and AI infrastructure — for founders and product teams.

What kinds of AI projects do you take on?

LLM-powered applications, AI agents, RAG and custom knowledge systems, machine learning models for ranking, classification, and recommendation, computer vision, and end-to-end consumer AI products. If it involves intelligent systems and a great product experience, it's in scope.

Do you work with startups or enterprises?

Both. Most of our work is with seed-to-Series-B startups building AI-native products, and we also advise larger companies on AI strategy, architecture, and integration.

Which AI models and providers do you work with?

All major frontier providers — OpenAI, Anthropic, and Google — plus open-source models from Meta, Mistral, and the Hugging Face ecosystem. We're provider-agnostic and pick what fits the workload.

How do you structure engagements?

Fixed-scope projects, monthly retainers, and embedded engineering. Most clients start with a short discovery sprint to align on scope, then move into a build engagement. We're transparent about pricing.

How fast can you ship an AI MVP?

Most AI-native MVPs ship in four to eight weeks. Complex systems with custom infrastructure or fine-tuned models take longer. We move fast without cutting corners.

Can you fine-tune custom models?

Yes. We fine-tune open-source LLMs, train smaller task-specific models, and build distillation pipelines when latency or cost requires it.

Do you integrate AI into existing software?

Often. We retrofit AI into existing products — search, summarization, agents, automation, recommendations — and we know how to do it without rewriting the whole stack.

Where are you located?

We're based in the United States and work remotely with clients worldwide.

Contact

Let's build something.

Tell us about your project — a problem, a sketch, a half-formed idea. We'll get back within one business day.