Dedicated Developer
An AI Engineer works exclusively on your project, integrated with your team's tools and workflows.
Best for: Ongoing model and pipeline work, eval-driven iteration
Book a ConsultationHire AI Engineers Who Build Intelligent Systems That Work in Production
Our AI engineers build machine learning models, NLP pipelines, computer vision systems, and AI agents that solve real business problems. Not research prototypes, but production systems that deliver measurable results.
AI Engineering, Accelerated with AI
Rapid Prototyping with Foundation Models
We start with pre-trained models (GPT-4, Claude, open-source alternatives) and fine-tune for your domain, cutting development time from months to weeks.
Automated Evaluation Pipelines
AI-powered evaluation frameworks test model outputs against domain-specific benchmarks, catching accuracy regressions and hallucination issues before deployment.
Continuous Model Monitoring
AI monitors production model performance, drift, and user feedback in real time, triggering retraining or prompt adjustments when quality degrades.
Cost-Optimized Architecture
AI tools analyze your usage patterns to recommend the right model size, caching strategy, and batching approach, keeping inference costs predictable as you scale.
What Our AI Developers Build
Custom AI Agents
Autonomous agents that perform multi-step tasks using LLMs, tool calling, and domain knowledge. Customer support, research, and workflow automation.
RAG & Knowledge Systems
Retrieval-augmented generation systems that ground AI responses in your proprietary data. Document Q&A, internal knowledge bases, and domain-specific assistants.
Computer Vision
Image classification, object detection, OCR, and visual inspection systems. From medical imaging to manufacturing quality control.
NLP & Text Processing
Named entity recognition, sentiment analysis, document classification, and text extraction pipelines for structured data from unstructured content.
Predictive Analytics & ML Models
Forecasting, anomaly detection, recommendation engines, and scoring models trained on your historical data for business-specific predictions.
AI Integration & Deployment
Deploy AI models into your existing applications. API wrappers, edge deployment, model serving infrastructure, and production monitoring.
How It Works
From first conversation to a developer shipping code on your project, the process is designed to be fast, transparent, and low-risk.
Engagement Models
Managed Team
We assemble and manage an AI team with a tech lead, handling delivery end-to-end against your requirements.
Best for: Building RAG and agent systems end-to-end with a lead
Book a Consultation
Project-Based
Fixed scope, timeline, and budget. We deliver the project and hand off the codebase with documentation.
Best for: AI proofs of concept, RAG pipelines, model integration sprints
Book a Consultation
Start within a week
Flexible scale-up / scale-down
No long-term lock-in
Dedicated technical leadOur Work
AI Demo / Cross-Industry🇺🇸 USABuilt an AI agent that processes unstructured documents with 85% extraction accuracy
Processes invoices, contracts, and reports with intelligent field extraction and confidence scoring
Validates extracted data against configurable business rules before downstream push
Handles multiple document formats (PDF, scanned images, emails) with OCR integration
Provides audit trail and exception queue for human review of low-confidence extractions
85%
Extraction Accuracy
70%
Faster Document Processing
90%
Reduction in Manual Review
AI Demo / B2B CommerceDeployed a WhatsApp agent that processes B2B orders 60% faster across 3 languages
Processes orders via text and voice messages in English, Hindi, and Spanish
Confirms line items, quantities, and pricing with the buyer before submission
Checks real-time inventory availability and suggests alternatives for out-of-stock items
Routes confirmed orders to fulfillment and sends delivery tracking updates
60%
Faster Order Processing
40%
Reduction in Order Errors
3
Languages Supported
AI Demo / Enterprise OperationsAutomated 75% of support ticket classification with AI-driven triage and routing
Monitors incoming tickets across email, chat, and web form channels in real time
Classifies tickets by category, urgency, and complexity using trained language models
Assigns priority scores and routes to the correct team based on skill matching
Learns from resolution patterns to continuously improve classification accuracy
75%
Automated extraction and classification
50%
Faster Resolution Time
30%
Fewer Misrouted Tickets
