Agents for the work your team shouldn't be doing by hand
Support queues, sales follow-ups, intake calls and data requests grow faster than any team can hire. We build AI agents that take that work on, connected to your own systems, and run them in production.
Problems we solve
Where agents take the load off
01Customer SupportBusiness Impact: Human agents handle complex escalations; recurring issues are eliminated at the source.
Operational Bottleneck
Support costs scale linearly with ticket volume, while unresolved recurring issues degrade customer retention.
AI Capability
Triages incoming tickets, resolves routine requests, and flags root causes.
02SDR & SalesBusiness Impact: Every lead gets a first touch; human reps only spend time on qualified conversations.
Operational Bottleneck
Expensive sales talent is wasted on manual qualification, leaving high-intent pipeline unworked and revenue on the table.
AI Capability
Conducts parallel outbound voice calls to thousands of leads, qualifying intent.
03Deep ResearchBusiness Impact: Decisions are driven by immediate data, not bottlenecked by reading time.
Operational Bottleneck
Strategic decisions are delayed or made with incomplete intelligence due to the manual bottleneck of parsing unstructured data.
AI Capability
Synthesizes reports, transcripts, and unstructured data instantly.
04Healthcare AssistantsBusiness Impact: Staff redirect their time from administrative overhead to direct patient care.
Operational Bottleneck
High-value clinical staff time is eroded by administrative overhead, reducing patient throughput and margins.
AI Capability
Automates patient intake, clinical scheduling, and prescription renewals.
05Data & BIBusiness Impact: Anyone can query the database instantly without waiting on an analyst.
Operational Bottleneck
Critical operational visibility is bottlenecked by the data team, forcing business leaders to wait days for actionable BI.
AI Capability
Translates plain-English questions into SQL queries and returns direct answers.
06HR & FeedbackBusiness Impact: Your team reviews structured results instead of grinding through phone screens.
Operational Bottleneck
High-volume screening and surveying consume excessive operational hours, slowing hiring velocity and delaying market feedback.
AI Capability
Conducts automated voice interviews and phone-based feedback surveys.
Bespoke builds: If your use case isn't listed, that's normal — most of our agent work starts from a workflow, not a template. We scope custom builds from your requirements, including AI on custom hardware.
How it's built
Wired into the systems you already run
We design, deploy, and operate production-grade AI agents — connected to your SQL and NoSQL databases, RAG systems, knowledge bases, REST APIs, and MCP servers, in text and voice.
FAQ
Clearly answered
01What kinds of AI agents does Curlscape build?
Curlscape builds custom AI agents for customer support, sales outreach, deep research, healthcare intake, data analysis and voice interviews, and deploys and monitors them in production. Most of this work starts from a workflow rather than a template, so use cases outside that list are scoped from your requirements.
02Can an AI agent connect to our databases and internal tools?
Yes. Curlscape agents connect to your SQL and NoSQL databases, RAG systems, knowledge bases, REST APIs, and MCP servers, in text and voice.
03Does Curlscape build voice agents?
Yes. Curlscape builds voice agents for sales outreach, customer feedback calls and candidate interviews, and they handle calls in parallel. Our Voice AI Cost Calculator estimates the cost per call across speech and language-model providers.
Estimate your cost per call04Who owns the agent once it is built?
You do. Curlscape builds it on your infrastructure and hands over the source code, documentation, and knowledge transfer so your team can own it.
Security and IPHow we run this ourselves
- Tool01
Voice AI Cost Calculator
Estimate cost per call across STT, LLM, and TTS providers for orchestration and speech-to-speech workflows.
- Article02
How to create a MCP Server - An Introduction using SEC EDGAR API
Step-by-step tutorial on building an MCP server using the SEC EDGAR full-text search API. Learn how to expose tools to LLMs and build AI agents with the Model Context Protocol.
- Article03
How to build Text2SQL Agent using MCP
Build a Text2SQL agent using the Model Context Protocol and a Postgres MCP server. Includes code walkthrough, Northwind database testing results, and comparison with LangGraph.