Human Loops — Human-in-the-Loop Operations for AI at Scale

What We Are

Where AI Workflows Meet
Human Validation.

New-Age BPO

Purpose-built for AI-era workflows. The ops layer that legacy BPOs can't offer and AI companies can't build in-house.

Closes the Last Mile

AI gets you 90% there. We close the gap — catching errors, resolving edge cases, feeding every correction back into your models in important and regulated industries.

Built for Complexity

Finance documents, clinical workflows, robotics annotations, insurance claims — wherever data is complex and the stakes are high, our ops teams go deep.

Industry Expertise

Operational Depth.
Across Critical Industries.

Specialist operations teams — deployed end to end across the industries where AI oversight matters most.

🏥 Healthcare

💰 Finance

🛡️ Insurance

🤖 Robotics

Healthcare

Clinical · RCM · Prior Auth · Ambient AI

Healthcare AI moves fast — errors cost lives and dollars. We embed licensed medical professionals directly into your workflows to verify, correct and label at the standard this industry demands.

Healthcare AI Output VerificationPrescription parsing & Rx QAEHR / Clinical Data MigrationPrior auth exception handlingDenials management & appealsClinical review prep & utilization management supportPatient-facing content QA & compliance review

Expanding Into

🚛 Logistics⚖️ Legal Tech🛡️ Content Moderation🛒 E-Commerce🏗️ Real Estate+ Any AI workflow that needs a human

Client Work

Results That Speak.

A selection of how we've operated. Clients are confidential — the outcomes are real.

Finance · US AI Tax Platform

High-Volume Tax Document QA

ChallengeAI and engineering teams extracted data from thousands of tax returns and tax organisers — inconsistent accuracy across software formats, density of categories and document types causing several errors and low-quality data.

Deployment20-person dedicated team built from scratch. Every field reviewed, formats normalised, errors flagged and structured datasets delivered back to engineering.

OutcomeError rate dropped to near-zero. Engineering team fully freed from manual review. Full ops running inside 120 days.

75,000+

Documents processed

<120 days

Deployment to delivery

Team size

Healthcare · AI SaaS Platform

Clinical AI Output Verification

ChallengeAI agents generating prior auth submissions and Rx parsing across thousands of patient records — drug names, dosage errors, several format errors that reached clinicians unverified.

Deployment15-person team of trained professionals, nurses and licensed medical professionals — hired, trained and deployed on-ground to verify AI output against source documents in real time.

Outcome23,000+ AI outputs verified. Corrections fed back as training data. Model accuracy improved. 24/7 ops coverage maintained continuously.

23,000+

AI outputs corrected

24/7

Ops coverage

Medical professionals

"The team plugged into our pipeline in days. The quality bar they hold is genuinely impressive."

Head of ProductYC-backed AI startup

"We were struggling with scaling our QA/QC on data. The Human Loops team took that entirely off our plate."

CEOAI HealthTech Platform

"Turnaround was super fast and error rates are the lowest at the price point we've seen from any vendor, period."

CEOAI Tax SaaS

"The team plugged into our pipeline in days. The quality bar they hold is genuinely impressive."

Head of ProductYC-backed AI startup

"We were struggling with scaling our QA/QC on data. The Human Loops team took that entirely off our plate."

CEOAI HealthTech Platform

"Turnaround was super fast and error rates are the lowest at the price point we've seen from any vendor, period."

CEOAI Tax SaaS

Vision

A New World Is Already Here.

Traditional BPOs will die or adapt. The companies that define the next decade won't outsource the past — they'll build the future. Our vision is to become the leading new-age BPO for the AI world — first movers partnering with AI companies before the playbook exists, constructing new systems, inventing new job roles, and building entirely new operational ecosystems from scratch. The problems we'll solve in five years don't have names yet. That doesn't concern us. It drives us.