Practical AI that solves real business problems
LangChain · Claude API · RAG · Python
We help companies move beyond AI hype and into production. Whether you need an LLM-powered workflow, a retrieval-augmented search system, or an intelligent automation pipeline, we build AI features that are reliable, explainable, and integrated seamlessly into your existing product.
Capabilities
LLM-Powered Features
Custom integrations with Claude, GPT, and open-source models for content generation, summarization, classification, and conversational interfaces. We handle prompt engineering, output validation, and cost optimization.
RAG & Intelligent Search
Retrieval-augmented generation pipelines that let your users search and query your proprietary data — documents, knowledge bases, product catalogs — with natural language and get accurate, cited answers.
Automated Workflows
AI-driven automation for repetitive business processes: document extraction, email triage, lead scoring, invoice processing, and data enrichment. We connect models to your existing tools and databases.
Data Pipelines & Analytics
End-to-end data pipelines that collect, clean, and transform your data so AI models have reliable inputs. Includes structured logging, evaluation dashboards, and drift monitoring.
Tech Stack
AI Frameworks
Data & Vector Stores
Languages & Runtime
Observability
How we work
Use-Case Validation
We assess your data, business process, and goals to determine whether AI is the right solution — and if so, which approach (LLM, classical ML, rule-based, or hybrid) will deliver the best ROI. No upselling; if a simpler solution works, we will recommend it.
Proof of Concept
We build a focused PoC in 2–4 weeks that demonstrates feasibility with your real data. You see actual outputs, accuracy metrics, and latency numbers before committing to a full build.
Production Integration
We integrate the AI feature into your existing product with proper error handling, fallback logic, rate limiting, and cost controls. The feature ships as part of your app, not a disconnected prototype.
Monitoring & Iteration
We set up evaluation pipelines, logging, and feedback loops so you can measure quality over time. We iterate on prompts, retrieval strategies, and model selection based on real usage data.
Pricing Ranges
Transparent pricing based on project scope. Final quotes after discovery call.
A single AI-powered feature integrated into your existing product — intelligent search, content generation, classification, or automation. Includes PoC, integration, and monitoring setup.
A comprehensive AI-powered product or major feature set — RAG system, multi-agent workflow automation, or conversational interface with evaluation pipeline and production monitoring.
Enterprise-grade AI infrastructure, custom model fine-tuning, multi-model orchestration, or ongoing AI development. Scoped based on complexity, data volume, and compliance requirements.
Frequently asked questions
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