AI is changing software. We build what’s next.
Rivach is an applied AI engineering company building AI-native products, software platforms and intelligent systems across healthcare, pharma, retail and enterprise.
Rivach OperationsOrder to Cash
From order to payment. Connected and AI-assisted.
| Order | Customer | Amount | Status | Updated |
|---|---|---|---|---|
| SO-1042 | Northstar Manufacturing | $24,500 | Order received | Now |
| SO-1041 | Vertex Health | $12,000 | Invoice generated | 9 min ago |
| SO-1040 | Harbor Retail | $8,750 | Inventory checked | 18 min ago |
| SO-1039 | Atlas Services | $19,200 | Order received | 24 min ago |
Trusted by teams building critical digital systems
- Ascent Pharmaceuticals
- Evaric
- PharmaBridge
- Brekrr
- Magnus Designers
- Zuntera
From new product development to enterprise systems, we stay close to the work and take technology from idea through production.
About RivachWe build technology around how businesses actually work. Rivach designs, builds, modernizes and operates software, AI systems and digital platforms for organizations that need technology to work in the real world.
- Strategy, engineering and operations in one team
- End-to-end
- Strategy, engineering and operations in one team
- Managed voice agents answering every call
- 24/7
- Managed voice agents answering every call
- Delivery across the United States and India
- US · IN
- Delivery across the United States and India
What we do
Everything it takes to build and run software with AI inside.
Product, software, AI, cloud, data and enterprise engineering brought together around the system your organization actually needs.
Intelligent systems
AI & Intelligent Systems
Agents, knowledge systems, voice AI and intelligent applications engineered for production use.
Digital products
Product Engineering
Web, mobile, SaaS and internal products, from architecture through production.
Infrastructure
Cloud & Platform
Cloud infrastructure and deployment systems that make software easier to build and operate.
Information systems
Data & Intelligence
Pipelines, analytics and integration layers that make information reliable and useful.
Business systems
Enterprise Applications
Modernization and integration for the platforms behind business operations.
Ongoing ownership
Managed Engineering
A defined outcome, a dedicated team or sustained capability alongside yours.
Applied AI
Models are getting better. The hard part is making them useful.
Models are advancing quickly. Enterprise systems are not. Production AI has to connect with trusted data, applications, permissions, workflows and people, while remaining observable, secure and reliable.
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Policy
7.2 active
History
3 prior
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Production controls built into every AI system
Human-in-the-loop approvals
Sensitive actions wait for a person. Approval queues are designed for fast, informed decisions.
Audit trails
Every action an agent or workflow takes is logged and reviewable by item, by day and by system.
Escalation paths
Clear rules route complex or uncertain cases to your team with full context attached.
Role-based access
People and agents see only what their role allows. Permissions are explicit, not implied.
Monitoring & QA
Dashboards, alerts, and sampled quality reviews keep performance visible, not assumed.
Fallbacks & error handling
When an integration fails or input is ambiguous, the system degrades safely and tells someone.
AI Operations
Managed AI operations. You get the outcome, we run the system.
Calls, workflows and back-office execution handled by AI systems Rivach builds, monitors and improves, with people in the loop wherever it matters.
Rivach VoiceOps
Managed Voice Agents
AI voice agents that answer, qualify, book, and follow up. Built, monitored, and improved by us.
Rivach WorkflowOps
AI Automation Workflows
Repetitive business processes converted into supervised AI workflows, with approvals, logs, and dashboards.
Rivach AI BPO
AI-Enabled BPO
Managed operations where AI does the repeatable work and trained operators supervise quality and exceptions.
How we work
From problem to production.
A practical path from understanding the need to operating and improving the finished system.
-
STEP 01
Understand
Clarify the business need, the operating environment and what a useful outcome looks like.
Working sessionsSuccess measures -
STEP 02
Design
Shape the product, system architecture, data flows, interfaces and delivery path.
ArchitectureInterface design -
STEP 03
Build
Create the software, AI systems and infrastructure as one working system.
SoftwareAI systemsInfrastructure -
STEP 04
Integrate
Connect existing applications, trusted data, permissions and operational workflows.
DataPermissionsWorkflows -
STEP 05
Launch
Move into production with testing, observability, documentation and safe fallback paths.
TestingObservability -
STEP 06
Operate
Support, monitor and improve the system as the organization and its needs evolve.
MonitoringOngoing improvement
Selected work
Systems in production. Not slideware.
Pharma Services · Platform Engineering · Managed Service
Pharma Services Digital Platform
Web platform, security, SEO, and analytics for a pharma services company. Built, then managed month over month.
Pharma / B2B Trade · Product Architecture · SaaS Engineering
B2B Supplier & RFQ Platform
Product architecture and design for a supplier discovery and request-for-quote platform connecting buyers and manufacturers.
Appointment-Driven Businesses · Rivach VoiceOps
AI Voice Agent Deployments
Managed voice agents for inbound call handling, appointment booking, and follow-up, configured per business, monitored by Rivach.
Back-Office Operations · Rivach WorkflowOps
Document & Workflow Automation
Supervised AI workflows that read documents and email, extract structured data, and update business systems, with human approval gates.
Industries
Technology shaped by the environment it serves.
- 01
Life Sciences & Pharma
Digital platforms, intelligent systems and operations built for complex, regulated environments.
- 02
Retail & Consumer Operations
Products and connected workflows designed around real customer and operational volume.
- 03
Technology & SaaS
Product, platform and AI engineering for teams building and scaling software businesses.
- 04
Professional Services
Systems that improve knowledge work, client delivery and the operations behind both.
FAQ
Questions, answered.
If you don’t see yours here, an engineer will answer it directly.
Ask us anythingWe design, build, modernize and operate software, AI systems and digital platforms. Alongside engineering work, we run managed AI operations: voice agents, automation workflows and AI-enabled back-office services that we build, monitor and improve for you.
No. Most conversations start with a problem rather than a strategy: a workflow with too much manual work, a product idea, or a system that needs to change. We help shape the approach from there.
With a working session to understand how the work actually happens today. From there we scope something small and real, such as one call flow or one workflow, and expand once the system has earned it.
Yes. Most of what we build connects to applications, data and permissions that already exist. We can deliver a defined outcome, or work as an extension of your engineering team.
Every system ships with human approvals for sensitive actions, audit trails, escalation paths, role-based access, monitoring and safe fallbacks. These are part of the first version, not added later.
We deliver across the United States and India, which lets us combine close collaboration with round-the-clock operations.
Start a project
Have something difficult to build?
Whether you’re creating a new product, introducing AI into an existing operation or improving a system your business already depends on, we’d like to understand the problem.
What happens next
Three simple steps
- 01
Tell us about the problem
What you’re building, or what isn’t working. A few sentences is enough.
- 02
Talk with an engineer
A working session with someone who builds, focused on how the work actually happens.
- 03
Get a concrete next step
A scoped plan for one product slice or one workflow, not a slide deck.