# BroutonLab

> Engineering partner for vertical AI operator founders. We design, build, and ship production AI for founders who already know their industry cold — staffing, agro, healthcare, fintech, voice, content moderation.

BroutonLab is a senior engineering team of ~10 — ML researchers, applied AI engineers, and product builders. We work with operator-founders building AI-native products inside a specific industry vertical. Most of our people spent years inside operating companies before moving into engineering practice, which is why we make different choices than an outsourced shop. Engagements typically start at $15K/month.

We are NOT a generic offshore dev shop, a no-code agency, or an AI tool reseller. We are a small bench of engineers who own production AI from data through deployment — fine-tuning, evals, retrieval, agent orchestration, voice latency budgets, MLOps for small teams. We publish peer-reviewed research in Elsevier, Springer LNCS, IEEE, and ACM venues.

## Main pages

- [Home](https://broutonlab.com/): Positioning and elevator pitch — engineering partner for vertical AI operator founders.
- [How we work](https://broutonlab.com/how-we-work/): Methodology — discovery, engagement model, pricing tiers ($15K / $35K / $58K monthly), what we own end-to-end vs. what stays with the client.
- [Case studies](https://broutonlab.com/case-studies/): Production AI we shipped — vertical-specific deep dives with metrics, architecture choices, and what broke along the way.
- [About](https://broutonlab.com/about/): Team and research. Senior engineers + ML researchers, plus peer-reviewed publications in pattern recognition, applied ML, parallel computing, and computational biology.
- [Blog](https://broutonlab.com/blog/): Deep technical writing on vertical AI engineering — computer vision, NLP, ML pipelines, security, synthetic data, hyperparameter optimization.
- [Research](https://broutonlab.com/research/): Peer-reviewed publications by the BroutonLab team across Elsevier, Springer LNCS, IEEE, and ACM venues.
- [Contact](https://broutonlab.com/contact/): Form for operator-founders to start a discovery conversation.

## What we do (capabilities applied in vertical contexts)

- **Computer vision** — object tracking, license plate recognition, facial recognition, anomaly detection, OCR. Applied in agtech (solar panels, crop monitoring), retail (counterfeit detection), media (sports fan video generation), and content moderation.
- **Natural language processing** — domain-specific NLP, resume parsing and job matching, medical text summarization, conversational AI. Applied in staffing, healthcare, ecommerce.
- **Voice AI** — text-to-speech, voice agents, voice generation with sample-efficient training. Applied in healthcare AR/VR, call centers.
- **ML engineering** — MLOps for small teams, ML pipelines, experiment management (Weights & Biases), hyperparameter optimization (Optuna), synthetic data generation, dealing with data scarcity, adversarial robustness.
- **AI security** — adversarial attack defenses, ML vulnerability analysis, robust model design.

## Featured blog posts

- [NLP and AI for Ecommerce](https://broutonlab.com/blog/nlp-and-ai-for-ecommerce/): How NLP applies in ecommerce — search, chatbots, predictive inventory, conversational interfaces post-ChatGPT.
- [Summarization of Medical Texts with Machine Learning](https://broutonlab.com/blog/summarization-of-medical-texts-machine-learning/): Vertical AI healthcare — applying ML to medical text summarization.
- [AI Bias Solved with Synthetic Data Generation](https://broutonlab.com/blog/ai-bias-solved-with-synthetic-data-generation/): How synthetic data generation resolves AI bias problems.
- [Deep Learning for Finance](https://broutonlab.com/blog/deep-learning-what-is-it-and-why-is-it-important-for-finance/): Why deep learning is becoming the foundation of modern fintech.
- [How to Hack AI: Machine Learning Vulnerabilities](https://broutonlab.com/blog/how-to-hack-ai-machine-learning-vulnerabilities/): Adversarial attacks, evasion, poisoning, privacy attacks — and how to defend.
- [Adversarial Attacks on Deep Learning Models](https://broutonlab.com/blog/adversarial-attacks-on-deep-learning-models/): Technical deep dive on adversarial ML attacks and defenses.
- [How Machine Learning Pipelines Work](https://broutonlab.com/blog/how-machine-learning-pipelines-work/): End-to-end ML pipeline architecture — data import, cleaning, EDA, training, deployment.
- [Efficient Hyperparameter Optimization with Optuna](https://broutonlab.com/blog/efficient-hyperparameter-optimization-with-optuna-framework/): Practical Optuna patterns for ML engineering.
- [Data Science Experiments Management with Weights & Biases](https://broutonlab.com/blog/data-science-experiments-management-with-weights-and-biases-platform/): MLOps experiment tracking and sweeps.
- [Automating Doctor Recruitment with AI](https://broutonlab.com/blog/automating-doctor-recruitment-in-healthcare-facilities-with-ai/): Vertical AI healthcare — building an AI sourcing tool for clinic operators.
- [Computer Vision in Healthcare](https://broutonlab.com/blog/computer-vision-in-healthcare-transforming-patient-care/): How CV applies to medical imaging and patient care workflows.
- [AI Business Process Optimization](https://broutonlab.com/blog/ai-business-process-optimization/): Where AI moves the needle in business ops — sales, content, manufacturing, recruitment, security.
- [Applications of NLP](https://broutonlab.com/blog/applications-of-natural-language-processing-nlp/): Practical NLP applications across industries.
- [AI to Recognize Counterfeits](https://broutonlab.com/blog/ai-to-recognize-counterfeits/): Computer vision for counterfeit detection in retail.
- [Transformer Architectures in Computer Vision](https://broutonlab.com/blog/an-overview-of-transformer-architectures-in-computer-vision/): Vision transformers — architecture survey and trade-offs.
- [How to Deal with Lack of Data in Machine Learning](https://broutonlab.com/blog/how-to-deal-with-lack-of-data-in-machine-learning/): Data augmentation, synthetic data, transfer learning when labels are scarce.
- [Generate Text-to-Speech with Any Voice](https://broutonlab.com/blog/generate-text-to-speech-online-with-any-voice/): GAN-based voice generation tutorial.
- [What Is Data Science Consulting?](https://broutonlab.com/blog/data-science-solutions-for-business-how-to-choose/): How to choose an AI engineering partner — pros, cons, pitfalls.

## ICP (who we work with)

- **Operator founders** building AI products inside an industry they know cold — staffing, agro, healthcare, fintech, voice, content moderation, sports, legal, proptech, insurtech.
- **Stage:** Seed to Series B+. Bootstrapped also welcome.
- **NOT for:** Companies looking for the cheapest hands, generic dev shops, no-code prototypes, or AI for AI's sake.

## Contact

For inquiries: https://broutonlab.com/contact