AI & Machine Learning Development Services
TechForge is an AI agent development company that builds production-grade machine learning systems delivering measurable business ROI. From intelligent chatbots to predictive analytics engines, we turn your data into a competitive advantage.
The Problem With Off-the-Shelf AI
Most businesses try to force generic AI tools into workflows they were never designed for. The result: hallucinating chatbots that frustrate customers, analytics dashboards that no one trusts, and six-figure platform licenses that gather dust. Meanwhile, your competitors are shipping custom AI that actually fits their operations.
Generic AI platforms promise everything and deliver a demo. Your business has unique data, unique processes, and unique edge cases that off-the-shelf models cannot handle. A customer support chatbot trained on your product documentation performs fundamentally differently from one trained on generic FAQ templates. Predictive models built on your historical data outperform vendor benchmarks because they learn the patterns specific to your industry.
TechForge builds AI solutions from the ground up, trained on your data, integrated into your systems, and optimized for your specific business outcomes. We don't sell platforms. We build tools that work.
What We Build
AI Chatbots & Virtual Assistants
Conversational AI built on your knowledge base. Customer support, internal helpdesks, and sales qualification agents that handle 80%+ of queries without human intervention.
Document Processing & Extraction
Intelligent document parsing that extracts structured data from invoices, contracts, medical records, and unstructured text. OCR, NER, and custom extraction pipelines.
Predictive Analytics
Custom ML models that forecast demand, predict churn, optimize pricing, and surface patterns your team would never find manually. Built on your data, not generic benchmarks.
Computer Vision Solutions
Image classification, object detection, quality inspection, and video analysis systems for manufacturing, retail, healthcare, and logistics applications.
Our AI Tech Stack
We select the right framework for each project. No vendor lock-in, no unnecessary complexity.
- Deep Learning: TensorFlow, PyTorch, JAX for custom model architectures
- LLM Applications: LangChain, LlamaIndex, OpenAI API, Anthropic Claude API
- Classical ML: scikit-learn, XGBoost, LightGBM for tabular data and structured prediction
- Computer Vision: OpenCV, YOLO, Detectron2, custom CNN architectures
- MLOps: MLflow, Weights & Biases, Kubeflow for experiment tracking and deployment
- Infrastructure: AWS SageMaker, Azure ML, GCP Vertex AI, custom GPU clusters
- Data Engineering: Apache Spark, dbt, Airflow for pipeline orchestration
Apex Logistics — AI-Powered Dispatch Optimization
Apex Logistics managed an 800+ vehicle fleet with manual dispatch assignments. Drivers were frequently routed inefficiently, deliveries arrived late, and fuel costs were climbing. Their operations team spent 6 hours daily on route planning that was outdated by noon.
TechForge built a custom ML-powered dispatch system that processes real-time traffic data, weather conditions, vehicle capacity, and delivery windows to generate optimal route assignments. The model retrains nightly on new delivery data, continuously improving accuracy. We integrated it directly into their existing fleet management platform via API.
Frequently Asked Questions
AI development projects at TechForge start at $15,000 for focused solutions like chatbots and document extraction. Mid-range projects involving predictive analytics typically run $30,000-$75,000. Enterprise-scale AI platforms with multiple models, custom training pipelines, and MLOps infrastructure range from $75,000 to $150,000+. Every project receives a fixed quote before work begins.
Most AI projects ship in 8-16 weeks. A focused chatbot or document processing system can launch in 8-10 weeks. Predictive analytics platforms with custom model training typically take 10-14 weeks. Full enterprise AI systems with multiple models and integrations run 14-16 weeks. We provide an honest timeline on your first call.
TechForge is framework-agnostic and selects the best tools for each project. Our core stack includes TensorFlow and PyTorch for deep learning, LangChain and LlamaIndex for LLM applications, OpenAI and Anthropic APIs for conversational AI, scikit-learn for classical ML, and custom CUDA kernels for performance-critical workloads. Infrastructure runs on AWS SageMaker, Azure ML, or GCP Vertex AI.
Yes. Most of our AI projects involve integrating intelligent capabilities into existing business systems rather than building from scratch. We deploy AI models as microservices with REST/GraphQL APIs that connect to your current CRM, ERP, or data warehouse. Our team handles data pipeline engineering, model serving infrastructure, and monitoring dashboards.
Ready to Build Your AI Solution?
30 minutes. No pitch deck. Just a straight conversation about your AI project and how we can help.
Book a Free Discovery Call