Integration operating modelA consistent way to design, test, run, and repair cross-system flows.Long-term value: change no longer depends on scattered knowledge.
Integration Control Plane for Digital Business
As your systems multiply, integration complexity should not.
NitroNet unifies APIs, databases, workflows, delivery resilience, security, and AI in one self-hosted control plane. Connect the systems you already run without creating a new service for every connection or handing data control to a third-party platform.
A mapping session for one real use case — no commitment.
NitroNetIntegration Control Plane
ApplicationPOS, ERP, forms
Agentremote location
Agentyour location
Database / APIwrite & call
Data Lakeanalytics & archive
APIcontrolled endpoint
Legacy Systemlegacy / on-prem
✓Self-hosted integration control plane✓Agent network + durable queues✓Visual workflows + governed AI✓Reconnect → data catches up automatically
A workflow runtime you can see
Data moves with one contract, reliability model, and trace.
Receive DataHTTP / gRPC / MQ
ValidateSchema & rules
TransformMap & enrich
RoutePolicy & logic
DeliverAPI / DB / MQ
Durable QueuePersistent • retry • guaranteed delivery
ReadyProcessingDelayed
Live TraceRequest ID: 7f3a2c9e8b4f
Connection healthy — data flows automatically
Every path runs through an encrypted tunnel. Undelivered data is stored and retried automatically within the retention window.
The digital business challenge
More technology does not automatically create one connected system
Modern applications can work exceptionally well on their own. Complexity appears in the contracts, state, failures, security, and changes that cross system boundaries.
Without an integration control plane
With NitroNet as the control plane
Without an integration control plane
- Every connection creates another endpoint, worker, retry policy, secret, and deployment pipeline
- Data contracts and error handling differ across teams, applications, and locations
- Partial failures leave business state out of sync across services or databases
- Schema changes ripple through multiple repositories and increase the cost of change
- Traces, credentials, and access policies are scattered across runtimes
With NitroNet as the control plane
- Endpoints, schedules, transforms, logic, and actions become validated visual workflows
- Input contracts, schema mapping, and result branches are explicit and consistent
- Durable queues, retries, deduplication, rate limits, and delays become platform capabilities
- Changes are exercised in Sandbox before the Production path is enabled
- Per-message traces, encryption, RBAC, MFA, and audit share one operating standard
Addressing microservices complexity
Keep services focused on the domain. Move integration plumbing into NitroNet.
Microservices are strong at domain isolation and independent deployment. The problem begins when every cross-service interaction carries its own auth, mapping, retry, queue, observability, and recovery implementation. NitroNet standardizes that layer without replacing services that already belong in code.
Concern
Distributed across services
With NitroNet
Integration changes
Change code, tests, images, and deployment pipelines across one or more services.
Change a validated graph centrally, exercise it in Sandbox, then enable the appropriate runtime mode.
Reliability
Teams repeatedly implement retries, timeouts, backoff, deduplication, and failure state with different behavior.
Two-sided durable queues, explicit outcomes, workflow state, and delivery retries use consistent platform semantics.
Data consistency
A mid-sequence write failure can leave partial state that is difficult to recover.
Atomic batches within one agent and DB connection; cross-database work is coordinated as a Saga with an encrypted recovery journal.
Observability
One business transaction is split across service, queue, gateway, and database logs.
Per-message traces show ingress, nodes, queues, actions, and destination results in one execution context.
Security
Secrets and access rules multiply with services, locations, and connections.
Private-network agents, hop and at-rest encryption, RBAC, MFA, PIN reveal, and audit become platform policy.
AI & data context
AI must interpret scattered contracts and may receive raw data without consistent boundaries.
Neo uses grounded product knowledge, workflow proposals require review, and deterministic analysis can restrict AI to aggregates.
A healthy boundary
NitroNet complements microservices; it does not replace them
Domain logic that needs custom code, independent scaling, or very low latency remains in your services. NitroNet takes on cross-system orchestration, data movement, policy, and failure handling that should not be rewritten in every service.
Atomicity
Honest transaction boundaries
True ACID applies within one agent and database connection. Cross-database coordination uses a Saga and reports recovery_required if compensation cannot complete.
Delivery semantics
External effects are not disguised
HTTP and email actions are at-least-once and cannot roll back with a database; use an idempotency key when the destination API supports it.
Control
AI remains optional and supervised
Choose the provider, disable the module, ground answers, and keep workflow proposals from changing systems before review.
Integration debt check
Is your digital architecture starting to pay a complexity tax?
Check the signals visible in your technology landscape. This is not a lack-of-software problem; it is the coordination load between systems already in operation.
Your checks stay in your browser — nothing is sent anywhere until you press the WhatsApp button.
Why NitroNet is different
Not a typical cloud iPaaS. Not another microservice.
Execution stays close to private systems
Agents execute database access and API calls inside the network where each system lives. Core orchestrates through an encrypted tunnel without turning internal databases into public endpoints.
Reliability becomes a platform capability
Local buffering, central durable queues, retry, deduplication, throttle, rate limits, delay, and error branches do not need to be rebuilt for every integration.
Governance is part of the flow
Sandbox and Production modes, encrypted credentials, mandatory MFA, PIN-protected reveals, tenant RLS, and hash-chained audit all run as part of the same platform runtime.
Signature Capabilities
The three capabilities that set NitroNet apart
Not just a feature list — this is how it actually works.
Validated DAG workflows4 major databasesTwo-sided durable queuesMFA + AES-256-GCM
Visual workflows
Cross-system orchestration becomes a visible model
The graph captures input contracts, queries, mapping, transforms, state, transactions, APIs, email, errors, and responses. Tables and fields come from database schemas, then the flow is exercised in Sandbox before Production.
Store-and-forward
Delivery resilience is part of the runtime
Agent buffers and the central queue preserve delivery state when destinations or networks are unavailable. Retries run within retention and every outcome remains visible in logs.
Neo · AI assistant
Grounded AI inside explicit boundaries
Neo answers from indexed product knowledge, can produce validated workflow proposals, and always requires review. You choose the provider, and the AI module can be excluded entirely from deployment.
Sync branch sales to HQ every 5 minutes
Workflow draft ready — 4 nodes. Please review:
✓ Draft awaiting your approval
How it works
From system landscape to production workflow in four steps
1
Define the boundary and deployment
Run NitroNet through Docker on infrastructure you control. Choose modules, retention, an optional AI provider, and security policy for the environment.
2
Place agents close to data and APIs
An agent in each network zone establishes an outbound tunnel to Core, then executes database and private API access from inside that network.
3
Model contracts and orchestration
Import schemas, define nested contracts, mapping, queries, transforms, state, transactions, API responses, and actions as a visual graph.
4
Validate, observe, then activate
Exercise the graph and real systems through a separate Sandbox path. Enable Production after contracts, error branches, database outcomes, and responses are proven.
Business value · An investment that keeps working
One investment to help the business move faster, operate with more resilience, and stay ready to grow.
NitroNet builds an integration layer that can be reused across systems, sites, databases, and APIs. Its investment value grows as business needs change—because the company does not restart from zero whenever it adds a process or technology.
The value is more than software that runs.The investment builds the company's ability to change digital flows, keep transactions moving, expand operations, and adopt AI with consistent control.
Why this investment matters nowOfficial context · 25 August 2026
The economy demands cost discipline and growth speed at once; digital risk demands stronger control.
Global uncertaintyCapital must stay flexible, not become trapped in architecture that is hard to change.2026 global growth forecasts differ: 3.0% from the IMF and 2.5% from the World Bank. In this environment, reprioritizing without rebuilding the foundation becomes strategic value.IMF + World Bank · 2026 ↗
Indonesia growth opportunityGrowth needs systems that can grow with it.Indonesia's economy grew 5.29% year-on-year in Q2 2026. NitroNet helps add flows, systems, and zones incrementally without replacing systems of record that already fit.BPS · 5 Aug 2026 ↗
AI and digital riskAI speed must be matched by governance at the foundation.NIST identifies confabulation as an inherent GenAI risk. NitroNet places grounding, validation, risk routing, and human approval around the AI surface it manages.NIST AI 600-1 ↗
Investment-to-outcome
Every rupiah is directed toward a business capability that can be used repeatedly.
NitroNet creates value when technology helps the company respond to markets, protect operations, and expand its ecosystem without complexity growing at the same rate.
NitroNet investmentPlatform · implementation · team capability
Compounding business value
Value compounds because the same foundation is reused.
The first workflow solves one need. Its contracts, error patterns, security, and observability then accelerate the next need. This long-term leverage separates a platform from a one-off integration project.
Compounding value depends on real reuse, architecture discipline, and team adoption—it does not happen automatically because a license was purchased.
NitroNetReusable control plane
StandardizeShared contracts and controls
ReuseWorkflow patterns already proven
ExpandNew systems, sites, and volume
LearnTraces and real operating outcomes
StrengthenGovernance grows with the business
NitroNet starts with one high-value problem, then grows with the company.
A phased approach keeps investment focused: prove the benefit, expand successful patterns, then make the control plane a foundation for the digital ecosystem.
What the NitroNet investment actually deliversMore than an application and license
These four assets remain useful as company use cases, volume, and technologies change.
Private integration networkAgents bring execution closer to private data and APIs through WireGuard without moving systems of record.Long-term value: zone expansion stays within explicit boundaries.
Shared reliability and observabilityQueues, retries, deduplication, rate control, error routing, and tracing are not rebuilt in every service.Long-term value: failure coordination cost does not grow unchecked.
Governed data and AI foundationContracts, execution lineage, audit, access control, and guarded Neo create an innovation path that can be reviewed.Long-term value: AI grows without taking decision authority.
A worthwhile investment keeps creating new capabilities.NitroNet is designed so the initial value from one integration becomes operating leverage for change, resilience, expansion, and innovation. Financial outcomes are still proven on your architecture—but the capability built does not stop at one project.
Which part of your architecture is most worth simplifying?
Bring one expensive or high-risk cross-system flow. We will map its boundary, failure modes, and fit honestly.
Platform capabilities
One runtime for data movement, orchestration, state, and governance
Capabilities normally spread across gateways, workers, schedulers, connector services, secret stores, and operations dashboards are expressed in one workflow model.
Visual workflows
Webhook or schedule triggers, nested data contracts, transforms, branching, loops, merges, deduplication, rate limits, delays, variables, responses, and error handling.
Query builder, no SQL
Read databases with JOINs, nested filters, aggregation, and nested results — all by selection, not by typing queries.
Instant API endpoints
A workflow with a Response node becomes an API endpoint: payload validation, correct HTTP statuses, structured errors.
Four databases
PostgreSQL, MySQL, SQL Server, and MongoDB — read and write with explicit outcome branches: success, duplicate, not found, failed.
Cross-database transactions
Coordinated writes across different databases with an encrypted recovery journal — failures are recovered automatically and never disguised.
API & email actions
Call third-party APIs (OAuth2 tokens handled automatically) and send emails with a drag-and-drop content designer.
Per-message logs & tracing
Every message can be traced from ingress to delivery. Viewing payload contents requires a PIN and is recorded in the audit trail.
Multi-organization & roles
One installation serves many organizations with database row-level isolation and per-organization encryption keys.
Neo — AI assistant (optional)
Explains features and drafts workflows from plain-language requests. You review and approve every draft; AI can be fully disabled.
A short simulation
Friday night, branch internet goes down. Then what?
An illustration of NitroNet's store-and-forward runtime across an unstable network boundary.
19:03
Branch internet goes down
The connection to HQ is lost. In many systems, this is where data starts disappearing.
19:03–21:17
Transactions keep flowing
The POS keeps sending data to the agent on the local network. Everything queues safely in the buffer — nobody stops selling.
21:17
Internet comes back
The agent automatically re-establishes the encrypted tunnel to HQ.
21:18
Data catches up, reports intact
The queue resumes automatically, and each delivery remains visible in the operational trace.
Data that outlives the retention window is never silently dropped — it's clearly flagged in the logs.
Who it's for
For organizations that are already digital and facing integration sprawl
The strongest fit is where many systems, locations, databases, APIs, and policies must operate as one business process.
Architecture challenge
POS, ERP, marketplaces, loyalty platforms, and branch databases have different contracts and availability profiles.
NitroNet's roleBusiness events are orchestrated through consistent contracts and durable queues across locations.
Security incident replay
See what happens when a threat reaches the system.
Each scenario reveals the attack point, the layer that responds, and which data remains protected.
00:00Attack begins
00:01Defense activates
00:02Data protected
00:03Access denied
External attackerNetwork probe
Client AgentInside your network
WireGuardPrivate tunnel
NitroNet CorePolicy validation
NitroNet DatabaseEncrypted data
Intercepted packet
3f8A9b7E1c... 4D12a9F0bC... 9e3B7c2D1a...A6F20d9E7b... 8C3e7A1b9D... d4F89e3C0b...7E1b9C2dA4... 2B7e9D0f1A... 6C3d5B4e8F...Status: UnreadableThe intercepted payload cannot be read.
Neo · Governed Outcome Studio
Useful AI knows when to retrieve, calculate, and stop.
Neo turns business language into grounded answers, validated workflow drafts, or deterministic analysis—without taking final decision authority.
Neo (NitroNet)Only an aggregate packet is sent for narration
Consent + schemaPolicy and schema are validated
Risk R4Access control and independent review
SAW / TOPSISA deterministic engine calculates scores
Grounded narrationThe LLM only explains calculated results
Human reviewA recommendation for human review
Deterministic calculationComplete
| Rank | Supplier | Score | Cost | Quality | Delivery |
|---|---|---|---|---|---|
| 1 | Beta Mandiri | 0.842 | 0.741 | 0.850 | 0.933 |
| 2 | Alfa Prima | 0.781 | 0.688 | 0.925 | 0.750 |
| 3 | Delta Solusi | 0.742 | 0.812 | 0.720 | 0.733 |
Grounded narrative (aggregate)Complete
Based on TOPSIS, Beta Mandiri ranks first with a score of 0.842. This is a recommendation for review, not an automatic decision.
S1F1T1
Provenance attached automatically
1
Data sourceSuppliers table · identified snapshot
2
Formula & versionTOPSIS v1.2.0 · weights 30/40/30
3
Calculation timeDeterministic engine
4
Trace IDRun remains traceable
Grounding and enforcement reduce hallucination risk; Neo remains an assistant, not a decision authority.
NitroNet insights
Understand the architecture, not just the features.
Learn the principles behind secure, traceable cross-system integration that stays under your team's control.
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Technical answers without hiding the boundaries
Questions architecture, platform, and business teams ask most—answered with explicit boundaries, operational proof, and value that can be tested.
Use the up and down arrow keys to move between questions.
Architecture boundary
Does NitroNet replace microservices or an API gateway?
No. Domain logic, independently scaled services, and very-low-latency paths remain in your architecture. NitroNet takes on cross-system orchestration, data movement, reliability, state, and governance. An API gateway can still enforce edge policy while NitroNet runs workflows behind it.
Stays in services
- Domain logic and models
- Low latency and own scaling
NitroNet Control Plane
- Orchestration and reliability
- Governance and observability
Stays at the edge
- API gateway and routing
- Auth and traffic policy
Get started
Start with one cross-system flow that matters most
We will map the boundary, data contracts, failure modes, deployment, and business value—then prove it against a real use case.
Schedule a Mapping Session