AI
Services / AI

ARTIFICIAL
INTELLIGENCE

Futuristic AI tools engineered to boost your business — from RAG-powered assistants to computer vision and predictive analytics.

Overview

INTELLIGENT SYSTEMS BUILT FOR PRODUCTION

AI is only valuable when it actually works in production. We've learned this the hard way — building Agentplace, VisionTrack, and multiple predictive systems for clients across sectors. Our focus is always on grounded, reliable, measurable AI — not demos.

From RAG architectures and LLM integrations to computer vision pipelines and sales intelligence engines, our AI practice is built on deep engineering expertise and a healthy skepticism of hype.

What We Offer
💬
Conversational AI

RAG-powered chatbots and assistants trained on your data — with grounding, citation, and escalation logic built in.

📈
Predictive Analytics

Demand forecasting, churn prediction, lead scoring, and anomaly detection models tuned to your domain and data.

👁️
Computer Vision

Real-time object detection, person recognition, document processing, and image classification pipelines at production scale.

🧠
LLM Integration

Claude, GPT, Gemini and open-source model integrations — with fine-tuning, prompt engineering, and evaluation frameworks.

🔍
Vector Search & RAG

pgvector, Pinecone, Weaviate — semantic search systems that power accurate, context-aware knowledge retrieval.

⚙️
AI Automation

Intelligent workflow automation using n8n, LangChain agents, and custom orchestration — connecting your systems with AI reasoning.

Case Study

Agentplace — Multi-Brand AI Assistant Platform

We built a RAG-based AI assistant platform deployed across 12+ enterprise brands — with per-brand knowledge bases, hybrid retrieval (vector + BM25), cross-encoder reranking, and a no-code admin interface. Average response latency under 200ms.

73%
Ticket reduction
<200ms
Response latency
4.8/5
CSAT score
FAQ
Which LLMs do you work with?+
We're model-agnostic — we work with Anthropic Claude, OpenAI GPT-4/o, Google Gemini, Mistral, LLaMA, and custom fine-tuned models. We recommend the best fit based on your latency, cost, privacy, and capability requirements.
How do you prevent AI hallucinations?+
We use grounded RAG architectures with explicit prompting constraints, citation requirements, and fallback behavior. For high-stakes applications, we add confidence scoring and human-in-the-loop escalation paths.
Can you host the AI on our own infrastructure?+
Yes — we support fully self-hosted deployments using open-source models (LLaMA, Mistral, Phi) with Ollama or vLLM. This is ideal for data-sensitive applications where data cannot leave your environment.
How do you measure AI performance?+
We build evaluation frameworks from the start — tracking precision, recall, latency, CSAT, escalation rate, and domain-specific metrics. AI without measurement is just a demo.
Ready to Build?

YOUR AI PROJECT STARTS HERE

From a simple chatbot to a full AI platform — we'll architect it right and deliver it in production.

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