# 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 start with a fixed-price pilot ($30–50K, 2–4 months) or a dedicated team from $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.
- [Services](https://broutonlab.com/services/): Overview of what BroutonLab builds — custom AI development, voice AI, ranking engines, ML, MLOps.
- [AI development services](https://broutonlab.com/services/custom-ai-development/): Custom AI development — agents, voice, ranking, ML — with a fixed-price pilot ($30–50K) and dedicated teams.
- [AI chatbot development](https://broutonlab.com/services/ai-chatbot-development-service/): RAG-grounded chatbots, internal copilots, chat + voice agents with tool calling.
- [AI consulting services](https://broutonlab.com/services/ai-consulting-services/): Engineer-led AI consulting — fixed-fee audit in 2-3 weeks, executable roadmap, optional pilot.
- [Data science consulting services](https://broutonlab.com/services/data-science-consulting-services/): Data readiness audit, ML and predictive models, pipelines, ranking engines — fixed-fee audit, pilot $30-50K, dedicated team from $15K/mo.
- [AI agent development](https://broutonlab.com/services/ai-agent-development-company/): Autonomous agents with orchestration, human-in-the-loop, evals, guardrails.
- [AI agent cost calculator](https://broutonlab.com/calculators/how-much-does-an-ai-agent-cost/): Interactive estimate — build cost within the $30-50K pilot plus monthly running cost.
- [Enterprise AI chatbot development](https://broutonlab.com/services/enterprise-ai-chatbot-development-service/): Self-hosted models, SSO/RBAC, audit trails, legacy integration — procurement-friendly pilot.
- [How we work](https://broutonlab.com/how-we-work/): Methodology — discovery, engagement model, engagement options — fixed-price pilot ($30–50K, 2–4 months) and team tiers ($15–25K / $35–45K / $55–65K 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 in eCommerce](https://broutonlab.com/blog/nlp-and-ai-for-ecommerce/): How online stores use NLP in 2026 — intent detection, semantic search, recommendations, support chatbots, sentiment analysis. Updated 2026-09.
- [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.
- [What Is a Machine Learning Pipeline?](https://broutonlab.com/blog/how-machine-learning-pipelines-work/): Practitioner's guide — 7 stages, architecture diagram (training + serving paths, shared feature code), orchestration tools, real example with code, what breaks in production. Updated 2026-09.
- [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/): Applications actually deployed (imaging, surgical guidance, monitoring, drug discovery), the challenges that stop projects (labels, domain shift, regulation, privacy), market outlook. Updated 2026-09.
- [AI Process Optimization](https://broutonlab.com/blog/ai-business-process-optimization/): Where AI improves business processes — automation, cognitive insight, customer interaction, sales, security — and where it does not pay off. Updated 2026-09.
- [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/): How much data you need, open datasets, simulation, manual labeling, synthetic data, and what pretrained models changed. Updated 2026-09.
- [Generate Text-to-Speech with Any Voice](https://broutonlab.com/blog/generate-text-to-speech-online-with-any-voice/): GAN-based voice generation tutorial.
- [Data Science Consulting: A Buyer's Guide](https://broutonlab.com/blog/data-science-solutions-for-business-how-to-choose/): What data science consulting is, 2026 rates and project costs (incl. BroutonLab's own pilot $30–50K and team from $15K/mo), engagement models, in-house vs outsourcing vs partner, nine questions to ask, red flags. Updated 2026-09.

## 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