Artificial Intelligence Solutions

Transform Your Business
With AI

Production-grade AI systems — not demos. From autonomous agents to RAG pipelines, we build AI that operates at scale and delivers measurable ROI in 90 days.

AI Solutions We Build

Eight solution categories, one team with deep expertise across all of them.

AI Chatbots

Conversational AI with memory, tool use, and seamless human handoff for support, sales, and onboarding.

AI Agents (Autonomous)

Multi-step autonomous agents using CrewAI and LangGraph that execute complex workflows without human intervention.

RAG Systems

Retrieval-Augmented Generation that grounds LLM answers in your verified knowledge base — zero hallucinations.

LLM Applications

Production apps powered by GPT-4o, Claude 3.5, or open-source models with streaming, caching, and cost controls.

Process Automation

AI-driven workflow automation that replaces manual data entry, classification, routing, and decision-making.

AI Consulting

Strategy, model selection, POC design, and build-vs-buy analysis for organizations starting their AI journey.

AI Integration

Embed AI capabilities into your existing software stack via microservices and internal APIs.

Custom AI Platforms

End-to-end AI products with model management, prompt versioning, A/B testing, and analytics dashboards.

See AI in Action

Our AI agents handle complex multi-step tasks autonomously — researching, reasoning, and acting without human intervention.

GPT-4o + function calling for structured outputs
LangGraph state machines for multi-step reasoning
RAG with 99% retrieval precision
Latency under 2s P99 in production
ai-agent.py
agent Analyzing Q3 sales data...
↳ Retrieved 2,847 records from CRM
↳ Identified 3 underperforming segments
insight Enterprise APAC down 23% MoM
↳ Root cause: 4 churned accounts
↳ Generating recovery action plan...
action Drafting 4 win-back email sequences
↳ Scheduling follow-up tasks in CRM
report Sent to sales@company.com ✓
Completed in 4.2s

AI Technology Stack

LLM
OpenAI GPT-4o
LLM
Anthropic Claude
LLM
Google Gemini
Framework
LangChain
Agents
CrewAI
Vector DB
Pinecone
Models
HuggingFace
ML
PyTorch

Proven ROI Metrics

80%
Cost Reduction
Average reduction in manual processing costs for AI-automated workflows.
10x
Faster Processing
Document intelligence and data extraction vs. manual human review.
99%
Accuracy Rate
Classification and extraction accuracy on validated production RAG systems.
24/7
Availability
AI agents that work continuously — no breaks, no vacations, no sick days.

Industry Use Cases

Healthcare

Clinical decision support, patient triage, medical document summarization

Finance

Fraud detection, document processing, compliance automation, risk scoring

E-commerce

AI recommendations, customer service, dynamic pricing, inventory prediction

Legal

Contract analysis, due diligence, legal research, document generation

HR & Recruiting

Resume screening, interview scheduling, onboarding automation, policy Q&A

Implementation Approach

01

AI Assessment

Evaluate use case feasibility, data readiness, ROI projection, and build-vs-buy decision in one week.

02

POC in 2 Weeks

Working prototype on your real data to validate accuracy and stakeholder confidence before full investment.

03

Production Build

Scalable, monitored, cost-optimized AI system with guardrails, fallbacks, and human oversight workflows.

04

Deploy & Monitor

Production deployment with Langfuse/LangSmith monitoring, cost tracking, and drift detection dashboards.

AI Solutions FAQs

What makes your AI development different from just using ChatGPT?+
ChatGPT is a consumer product. We build production AI systems with guardrails against hallucination, cost controls, latency SLAs, monitoring dashboards, feedback loops, and integration with your business data and workflows. The difference is like a website vs. a web app.
How do you ensure AI accuracy for our specific domain?+
We benchmark multiple models on your actual data, implement RAG to ground responses in verified sources, add output validation schemas, and build human-in-the-loop review for low-confidence responses. We target and track accuracy KPIs defined upfront.
What does a 2-week AI POC include?+
A working prototype against your real data or a representative sample, accuracy benchmark against your baseline, latency and cost estimates at production scale, and a go/no-go recommendation with a detailed build plan.
Can you build AI that works with our private data?+
Yes. We architect air-gapped or on-premise AI options using local LLMs (Ollama/vLLM), self-hosted vector databases (Qdrant/Weaviate), and zero-retention API configurations. Your data never trains third-party models.
How much does AI development cost?+
A focused AI chatbot or RAG system starts around $15–30K. Complex autonomous agent platforms or custom model fine-tuning range from $50–150K. We provide fixed-price POCs before committing to a full build budget.
How do you monitor AI in production?+
We deploy Langfuse or LangSmith for prompt/response logging, latency tracking, cost per query monitoring, and accuracy evaluation. We set up drift detection alerts and monthly model performance reviews.

Get Your AI Roadmap

A 90-minute session that maps your top AI opportunities, realistic timelines, and ROI projections.

Book AI Strategy Session