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.
The real AI challenge
Building production AI isn't the same as building a demo. It requires fundamentally different thinking.
Multilingual by default
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
Most AI projects stall between the notebook and production. We close that gap with tested pipelines and deployment experience.
Capabilities
Full-stack AI engineering, from data pipelines to production inference.
Multilingual Voice & Text Intelligence
Transcription, analysis, and search across 40+ languages including English, Spanish, Hindi, Arabic, Mandarin, and more.
Video Intelligence & Analytics
Extract insights from video at scale: product detection, sentiment from facial cues, content tagging, and automated video search across platforms.
Multimodal Pipelines
End-to-end pipelines that fuse voice, video, text, and structured data into unified dashboards and real-time decision systems.
Sentiment & Intent Extraction
Real-time sentiment scoring, keyword extraction, and intent classification across customer touchpoints including video reviews and voice calls.
Custom AI Model Development
Fine-tuned models for your domain: ecommerce, fintech, healthtech, media. Trained on your data, deployed in your infrastructure.
AI Cost Optimization
Reduce inference costs up to 80% with smart model selection, quantization, and hybrid open-source + API architectures.
Data Annotation & Training Infra
Managed labeling pipelines for text, audio, and video. Evaluation frameworks and human-in-the-loop systems for continuous model improvement.
AI Readiness Assessment
Fixed-scope assessment mapping your data maturity to AI opportunities. Clear roadmap, realistic timelines, honest budgets.
AI Evals & Benchmarking
Systematic evaluation frameworks for accuracy, latency, and drift. Automated regression testing across model versions with domain-specific test suites.
AI Safety & Guardrails
Content filtering, hallucination detection, PII redaction, and output validation. Responsible AI practices built into every pipeline from day one.
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.
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.
How we work
A structured path from assessment to production, no open-ended engagements.
AI Readiness Assessment
Data audit, opportunity mapping, architecture recommendation
Prototype & Validate
Working prototype on real data, measure accuracy and cost
Production Deployment
Scale, integrate, train teams
Managed Operations
Monitoring, model updates, optimization