Customer experience AI studio
Sprinkle intelligence across every interaction.
Let’s Sprinkle AI crafts copilots, multi-agent AI automation, and analytics layers that delight your customers while respecting enterprise guardrails. From ideation to launch, we partner with you to deliver secure, scalable, and impactful AI solutions tailored to your business needs.
- LangGraph orchestration with live streaming UIs.
- OpenAI Agents SDK & Responses API for resilient tool-use.
- Standards-first MCP & Google A2A interoperability.
- High-throughput inference with vLLM and Bedrock.
How we deliver
Smooth, real-time chat experiences powered by streaming interfaces.
Coordinated AI helpers that share context across your tools.
Built-in safeguards and cost transparency from day one.
Trusted by teams shipping AI
What we build
Production-grade AI products
Generative AI apps
Composable front-ends with streaming UX, useStream hooks, and design systems ready for hand-off.
Agentic assistants
LangGraph, CrewAI, and OpenAI Agents orchestrations with secure tool sandboxes.
RAG copilots
Retrieval tuned for grounding, adaptive chunking, and citation-ready experiences.
Evaluations & LLMOps
Guardrails, eval dashboards, and regression suites to keep answers on-brand and compliant.
Private fine-tuning
Domain-tuned models on Bedrock, OpenAI, or custom stacks with data privacy baked in.
Scalable inference
vLLM deployments, autoscaling, and cost optimization tuned for enterprise traffic.
Tech & standards
Interoperable by default
OpenAI, Qwen, Llama, Claude, Gemini, and enterprise Bedrock models—connected through LangChain, LangGraph, and CrewAI orchestrators with streaming-ready React experiences.
We adhere to Model Context Protocol (MCP) and Google's A2A interoperability spec, ensuring your agents, tools, and knowledge bases speak a shared language across cloud, on-prem, and hybrid stacks.
Solutions
Use-cases we deliver
RAG Search & Chatbots
Document retrieval with semantic routing, answer scoring, and auditable citations.
- Multi-source ingestion
- Freshness-aware re-ranking
- Cited responses
Multi-agent workflows
CrewAI and LangGraph driven task orchestration with shared state and human-in-the-loop gates.
- Role-based skills
- Dynamic tool assignment
- Observability dashboards
Contact-center AI
Summaries, QA assistants, and ticket triage tuned for compliance-heavy contact centers.
- Live call notes
- CSAT uplift
- CRM automations
E-commerce AI
Personalized recommendations, AI-generated merchandising, and operations automation.
- Conversion lift
- Automated enrichment
- OMS integrations
FinServ agents
Digital KYC copilots, form automation, and portfolio insights with audit-first guardrails.
- Reg-ready workflows
- PII vault integration
- Explainable responses
Live demos
Prototype-ready building blocks
Chat / RAG
Streaming responses
Ask how we build RAG experiences.
Graph executions
Agents
Tool-use orchestration
- Click the button to simulate an OpenAI Agents workflow.
Process
A playbook tuned for enterprise delivery
Step 1
Discover
Workshops with product, data, and compliance teams to map goals, systems, and evaluation targets.
Step 2
Prototype
Rapid LangGraph + React sandboxes to validate prompts, retrieval chains, and agent capabilities.
Step 3
Pilot
Secure environments, analytics instrumentation, and runbooks for human-in-the-loop pilots.
Step 4
Scale
LLMOps automation, infra-as-code, and monitoring to move from pilot to production with confidence.
Compliance & Privacy: SOC 2 aligned, zero data retention by default, optional regional deployments (EU/US/APAC), and no training on customer data unless explicitly requested.
Case studies
Work shipped with enterprise leaders
Global SaaS platform
Launched LangGraph-powered support copilot with 42% reduction in handle time.
Hybrid search across 1.2M documents, evaluation harness with 600 curated scenarios, and MCP connectors for CRM + ticketing.
Fortune 100 bank
Agentic KYC assistant accelerating compliance workflows by 3x.
CrewAI-managed multi-step workflows, Bedrock Claude models with secure redaction, and audit-grade activity trails.
Retail marketplace
Conversational commerce agent boosting conversion by 18%.
Recommendations fine-tuned on Qwen, auto-merchandising flows, and vLLM inference with A/B eval loops.
Contact
Let’s start sprinkling intelligence
Tell us about the customer journeys you want to elevate and the workflows you need to automate. We’ll respond within one business day with next steps from a Let’s Sprinkle AI specialist.