Partnership & AI Engineering

Build
With Us

We help companies build production-grade AI, from multilingual voice analytics and video intelligence to custom ML pipelines. Engineered for global scale, optimized for real-world economics.

Why this matters

The real AI challenge

Building production AI isn't the same as building a demo. It requires fundamentally different thinking.

7,000+ Languages

Global markets need AI that works natively across languages and dialects, not English models with translations bolted on.

Cost vs. Quality

AI at scale demands smart architecture: right-sizing models, optimizing inference costs, and blending open-source with proprietary where it makes sense.

Production Gap

87% of AI projects never make it past the POC stage. We close that gap with battle-tested pipelines and deployment expertise.

What we build

Capabilities

Full-stack AI engineering, from data pipelines to production inference.

40+ languages

Multilingual Voice & Text Intelligence

Transcription, analysis, and search across 40+ languages including English, Spanish, Hindi, Arabic, Mandarin, and more.

VideoGPT-powered

Video Intelligence & Analytics

Extract insights from video at scale: product detection, sentiment from facial cues, content tagging, and automated video search across platforms.

Voice + Video + Text

Multimodal Pipelines

End-to-end pipelines that fuse voice, video, text, and structured data into unified dashboards and real-time decision systems.

Real-time

Sentiment & Intent Extraction

Real-time sentiment scoring, keyword extraction, and intent classification across customer touchpoints including video reviews and voice calls.

Domain-specific

Custom AI Model Development

Fine-tuned models for your domain: ecommerce, fintech, healthtech, media. Trained on your data, deployed in your infrastructure.

Up to 80% savings

AI Cost Optimization

Reduce inference costs up to 80% with smart model selection, quantization, and hybrid open-source + API architectures.

Managed

Data Annotation & Training Infra

Managed labeling pipelines for text, audio, and video. Evaluation frameworks and human-in-the-loop systems for continuous model improvement.

2-4 weeks

AI Readiness Assessment

Fixed-scope assessment mapping your data maturity to AI opportunities. Clear roadmap, realistic timelines, honest budgets.

Continuous

AI Evals & Benchmarking

Systematic evaluation frameworks for accuracy, latency, and drift. Automated regression testing across model versions with domain-specific test suites.

Enterprise-grade

AI Safety & Guardrails

Content filtering, hallucination detection, PII redaction, and output validation. Responsible AI practices built into every pipeline from day one.

24/7 visibility

Observability & Monitoring

Real-time dashboards for model performance, cost tracking, error rates, and data quality. Alerting on drift, degradation, and anomalies before they reach users.

Verticals

Industries we serve

Domain-specific AI that understands the nuances of your industry.

D2C & Ecommerce

Understand what customers say across every market: voice reviews, video unboxings, multilingual text feedback.

Fintech & Banking

Analyze call center conversations at scale for fraud signals, compliance risks, and churn indicators.

Healthtech

Multilingual patient intake, symptom extraction from voice, and clinical note analysis.

Media & Entertainment

Automated content tagging, multilingual subtitles, and audience sentiment tracking across platforms.

Enterprise SaaS

Embed AI-powered analytics into your product: voice search, smart recommendations, NL querying.

Process

How we work

A structured path from assessment to production, no open-ended engagements.

PHASE 01

AI Readiness Assessment

2-4 weeks

Data audit, opportunity mapping, architecture recommendation

PHASE 02

Prototype & Validate

4-8 weeks

Working prototype on real data, measure accuracy and cost

PHASE 03

Production Deployment

8-16 weeks

Scale, integrate, train teams

PHASE 04

Managed Operations

Ongoing

Monitoring, model updates, optimization

Let's build something together

Book a discovery call to discuss your AI objectives. We'll map your data landscape, identify high-impact opportunities, and outline a realistic path to production.

Book a Discovery Call