AI Receptionist
Answers every inbound call and message, qualifies intent, books meetings, and routes edge cases to a human with full context.
We design and deploy production-ready AI agents, intelligent workflow automation, and custom LLM systems that integrate seamlessly with your existing business infrastructure to improve efficiency, reduce costs, and scale operations.
CRM
salesforce.records
AI Lead Qualification
agent · scoring + enrichment
Calendar
google.calendar
Slack
#revenue-alerts
Knowledge Base
vector index · 48k docs
Customer Support AI
agent · resolve + escalate
12,481
Requests / day
99.98%
Success rate
3,120
Hours saved
Engineered on production-grade AI infrastructure
We don't bolt a chatbot onto your stack. We engineer a governed automation layer — retrieval, orchestration, and observability — that plugs into your existing systems of record.
Voice, chat, and API surfaces
InterfaceAgents, tools, and long-running workflows
OrchestrationModel routing across providers
ReasoningRetrieval, embeddings, and structured stores
MemoryYour existing business infrastructure
Systems of recordbi-directional data flow · streaming events · full request tracing
Every agent is a versioned service with typed tools, so capabilities compound instead of colliding.
Role-based access, PII redaction, audit trails, and approval gates on every privileged action.
Offline evals plus live traces so accuracy, latency, and cost per resolution stay observable.
Infrastructure as code, runbooks, and enablement — your team owns the system after launch.
Each engagement starts with a measurable target — cost per resolution, speed to lead, hours recovered — then we engineer backwards from it.
Answers every inbound call and message, qualifies intent, books meetings, and routes edge cases to a human with full context.
Researches accounts, personalizes outreach, handles replies, and pushes qualified pipeline straight into your CRM.
Resolves tier-1 and tier-2 tickets against your documented policies, with confident escalation and full audit trails.
A permission-aware assistant over wikis, contracts, and tickets so teams stop hunting for answers across tools.
Long-running, event-driven automations across CRM, billing, and ops — with retries, approvals, and observability built in.
Bespoke model pipelines: fine-tuning, structured extraction, evaluation harnesses, and private deployment in your cloud.
A selection of internal projects, production demos, and proofs of concept engineered by our team.
Healthcare
Internal ProjectProduction-ready healthcare AI assistant with intelligent patient interaction and workflow automation.
Voice AI
Production DemoVoice AI receptionist that answers calls, qualifies leads, books appointments, and routes conversations.
Insurance
Proof of ConceptAI agent for insurance consultation, customer onboarding, and policy assistance.
Developer platform
Internal ProjectMulti-agent AI engineering platform for workflow automation and developer productivity.
Quantivra AI is an applied AI and platform engineering team focused on production quality, reliability, scalability, and maintainability. We ship systems that survive audits, load, and staff turnover — not prototypes that stall after the pilot.
How we work
We audit workflows, data access, and volume to model ROI before a line of code is written.
System design, tool contracts, guardrails, and an eval suite that defines what "good" means.
Agents, tools, and integrations built against your systems of record with a full evaluation harness.
A narrow, high-value slice ships behind human review so accuracy is proven on real traffic.
Expand scope, tune cost and latency, then transfer ownership with runbooks and enablement.
A 30-minute technical conversation with an engineer — not a sales script. You'll leave with a candid read on feasibility, architecture, and expected ROI.