KhanexAI STUDIO
Services

Capabilities built for production AI

From AI-powered product features and intelligent agents to internal automation and knowledge systems, we take projects from strategy and prototype through production deployment.

AI Product Development
Customer-facing AI features, copilots, assistants, search, recommendations, document intelligence, and AI-native applications.
  • In-product copilots and assistants
  • Intelligent search and RAG
  • Document processing and extraction
  • Recommendations and personalization
  • Conversational and voice features
AI Agents and Integrations
Agents that securely work across existing software, APIs, databases, CRMs, support systems, and internal tools.
  • Multi-step agents with tool use
  • CRM, support, and data connectors
  • Human-in-the-loop approvals
  • Audit logging and allowlists
  • Vendor-neutral model adapters
Internal AI Systems
Knowledge assistants, reporting systems, workflow automation, document processing, and tools that improve employee productivity.
  • Permission-aware knowledge assistants
  • Reporting and analysis automation
  • Document-heavy process workflows
  • Cross-platform operational automation
  • Employee productivity tooling
AI Strategy and Prototyping
Use-case evaluation, technical feasibility, architecture, model selection, prototype development, risk assessment, and production roadmaps.
  • Use-case and ROI prioritization
  • Architecture and model selection
  • Fixed-scope prototypes
  • Risk and data-readiness assessment
  • Clear production roadmaps

Technologies and tools we work with

We choose tools to fit your product and stack, not the other way around. These are the platforms and patterns we ship with most often for in-product AI and operational agents.

Models & platforms

Foundation models via API, with room for private or open-weight hosting when required.

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Open-weight models

Build & delivery

The application layer product and engineering teams already ship in.

  • TypeScript
  • Python
  • Next.js
  • Node.js
  • REST APIs & webhooks
  • AWS
  • GCP

Data & retrieval

Grounding answers in your docs, schemas, and operational data.

  • PostgreSQL
  • pgvector
  • Pinecone
  • Weaviate
  • Document corpora

Systems we connect

CRMs, support desks, and knowledge tools agents actually need to use.

  • HubSpot
  • Zendesk
  • Slack
  • Notion
  • Google Workspace

Production patterns

How systems stay reliable after the demo is over.

  • RAG
  • Tool-calling agents
  • Evaluation harnesses
  • Human-in-the-loop approvals
  • Structured outputs

Your stack looks different? We adapt. Model choice stays behind an adapter so you are not locked to a single vendor.

Not sure where to start?

Start with an AI Discovery Sprint, or a free strategy call, to map the highest-value path for your product or operations.