We accelerate your AI strategy.NebulaOS is the operating foundation.
We connect your systems and data to NebulaOS, the platform that supports AI projects. From that foundation, we develop agents and automations for your business priorities.
Figures that help put operations in perspective.
plug-and-play agents
users
messages exchanged
average response SLA
Figures consolidated by StaryaAI. Updated: July 2026.
Operations have grown. Have your processes kept up?
Many problems look like staffing shortages. In practice, the cause may lie in how data, systems, rules and people participate in the journey.
Fragmented processes
A single journey crosses teams, channels and systems without continuity of context.
Teams tied up in repetitive tasks
Skilled professionals spend time on lookups, records, checks and follow-ups.
Service without journey history
Customers, patients, members and employees have to repeat information at every interaction.
Isolated AI initiatives
Projects begin as individual tests and remain disconnected from the company's routines, rules or systems.
Limited operational visibility
Managers struggle to track exceptions, handoffs, timing and indicators.
Scale without governance
More automation also requires clarity about access, decisions, traceability and human intervention.
The priority comes before the agent.
StaryaAI starts with the business problem, the current journey and the outcome that needs to change, before asking which chatbot to build.
Understand the journey
We map objectives, rules, people, systems, risks and success criteria.
Design and integrate agents
Each agent receives a mission and works with the context it needs.
Monitor operations
The client participates in the journey and prioritizes improvements based on observed data.
Operational capacity where the journey needs it most.
The design can start with a priority area and expand into processes with more agents, channels and integrations.
Customer service and support
Organize recurring inquiries, record requests and route exceptions with context.
Sales and relationships
Qualify opportunities, guide each stage and hand over the history to the responsible team.
Scheduling and follow-up
Connect confirmation, guidance, rescheduling and continuity throughout the journey.
Collections and negotiation
Support prioritization, contact and continued negotiation under defined rules.
Back office and documentation
Connect lookups, checks and records that depend on data and human participation.
Care and follow-up
Structure recurring journeys with context, guidance and handoff to the team.
Scope follows the complexity of the journey.
An agent applied to your process
For a defined operational problem, with a mission, integrations, success criteria and monitoring.
- Flow and mission design
- Integration with the organization's context
- Validation before operations begin
A coordinated team of agents
For processes that cross teams, channels and systems and need complementary functions.
- Agents with defined roles
- Routing and handoff rules
- Expansion through new journey stages
Agents applied to the context of each operation.
The technology foundation is shared. Journeys, rules, systems and success criteria vary by industry.
From data to care
Care pathways, scheduling, authorizations, service and back office.
Explore journeyFrom request to resolution
Authorizations, customer service, claims, collections, renewals and documents.
Explore journeyFrom contact to decision
Onboarding, service, collections, sales and financial operations.
Explore journeyFrom hiring to the ongoing employee experience
Onboarding, internal support, benefits, engagement and recruitment.
Explore journeyAgent operations do not become a black box.
Enterprise is the environment clients use to monitor and participate in the operation of the agents they purchase.
- Track journeys and indicators defined in the project.
- Test flows and monitor operational progress.
- Handle handoffs and intervene when necessary.
- Connect agents to organizational priorities.
Journeys improved with operational data.
The case studies below present results within the period and scope reported for each project.
From patient acquisition to follow-up.
Agents applied to care pathways and scheduling, connected to the patient journey and monitored by the operations team.
“Starya is now a key strategic partner for AI development at dr.consulta.”Mercedes Fraga · Head of Product · dr.consulta
conversion to the Health Program, against an internal target of 5%
cumulative improvement in scheduling and conversion since September 2024
per month in financial benefit reported in the case study
Voice service
Average handling time reduced from 8 to 2 minutes, with AI resolving 12% of calls in the first month.
Corporate operations
Five agents in production within the published scope and a stated target of 50 by December 2026.
Madrinha Joana
24/7 service through WhatsApp, with critical protocol flags and handoff to the team.
Results and targets supplied by StaryaAI and presented within each case study's scope.
The technical layer for building, orchestrating and governing agents.
NebulaOS is StaryaAI's product for technology, architecture, innovation and solutions teams.
- Coordinate agents, models, data, tools and flows.
- Structure versioning, policies and observability.
- Connect different components in an architecture with governance.
Size your current operations.
Enter your volume and monthly cost to prepare for an initial conversation. This simulation does not calculate savings, ROI or payback.
A projection requires context about the process, team, channels, integrations and success criteria.
A method for turning priorities into execution.
Discovery
We understand the operation, its priority and the expected outcome.
Work Analysis
We map the mission, rules, KPIs, integrations and success criteria.
Design and preparation
We structure agents, flows, context and exception scenarios.
Integration and validation
We connect systems and validate behavior with the responsible team.
Go-live and improvement
We monitor operations and prioritize improvements based on data.
Connect agents to operational systems.
CRMs, ERPs, industry systems, channels, collaboration and enterprise APIs.
CRM
Salesforce · HubSpot · Pipedrive · RD Station
ERP
SAP · Oracle ERP · TOTVS · Protheus
Industry systems
Healthcare · Insurance · Finance · HR
Channels
WhatsApp Business · Voice · SMS · WebChat
Collaboration
Slack · Microsoft Teams · Google Workspace
APIs
REST APIs · Webhooks · GraphQL
Trust Center
Security, privacy and governance controls applied to the platform.
Compliance by Design
Architecture and controls aligned with Brazil's LGPD, with ISO 27001 and SOC 2 Type II certification processes underway. Controls and audit trails support governance.
Data Protection
Integrated DLP, end-to-end encryption, immutable logs and configurable data residency.
Governance
RBAC/ABAC, auditing, usage policies and guardrails configurable to the context.
Observability
OpenTelemetry traces, alerts and dashboards to monitor technical and operational events.
Controls support governance and compliance. They do not replace legal assessment, internal policies or client responsibilities.
What often comes up before the first conversation.
How does an AI agent project begin?
We start with the business priority, current journey, rules, systems involved and criteria that will indicate success.
Are agents adapted to the company's context?
Yes. The design considers the mission, language, flows, data, integrations, exceptions and human intervention points defined for the project.
What is the difference between Enterprise and NebulaOS?
Enterprise is the environment clients use to monitor the operation of the agents they purchase. NebulaOS is the technical product for building, orchestrating and governing agents, models, data, tools and flows.
Does StaryaAI replace existing systems?
No. StaryaAI operates as an agent and orchestration layer connected to the systems and channels the organization already uses.
How are security and data handled?
The project defines purpose, access, retention, traceability, and technical and organizational controls according to the data processed and the deployment model.
Which operational journey needs to improve now?
Connect your priority to agents designed for your organization's context.
Schedule a conversation.
Tell us which process or journey needs to improve. Our team assesses context, integrations and success criteria.
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