The Agentic AI Company Behind the Platform
Xyner is an agentic AI company in both senses that matter to an enterprise buyer: we build the platform — 250+ agentic capabilities, 1,000+ integrations, governance throughout — and we implement it, from our New York global headquarters and offices in Chennai, Dubai, Riyadh, Singapore and Manama.
What is an Agentic AI Company?
An agentic AI company makes autonomous AI agents real for enterprises — not as demos, but as governed production systems. That takes two things few organizations hold together: a platform deep enough to build, orchestrate and audit agents, and a delivery organization that can carry a specific customer workflow from scoping through integration to a measured outcome. Companies with only the first sell licenses; companies with only the second sell hours. The work requires both.
Xyner sits deliberately on both sides of that line. The product is the Xyner AI agentic platform — reasoning, orchestration, knowledge, 1,000+ integrations and governance as one system. The delivery side scopes use cases, configures agents, wires integrations, sets up governance with your risk team and stays through testing and deployment. One company accountable for the whole distance.
Geography is part of the answer too. Enterprise AI programs run on working sessions, security reviews and go-live weekends — easier with a team in your region. Xyner operates from New York (Global HQ), Chennai, Dubai, Riyadh, Singapore and Manama, which puts delivery capability across the Americas, Asia and the Gulf.
Who Xyner is, in six claims you can verify
No adjectives — each card states something a proof of concept or an audit can check.
A platform builder
Xyner develops its own agentic AI platform: 250+ agentic capabilities covering reasoning, orchestration, knowledge, integration, monitoring and governance. You can test every claim on this page against the product in a scoped pilot.
An implementation partner
Delivery teams scope use cases, configure agents, integrate systems and set up governance alongside your people — then hand over the operating knowledge so your second agent needs less of us than your first.
A global footprint
Six offices — New York (Global HQ, 124 E 14th Street), Chennai, Dubai, Riyadh, Singapore and Manama — serving enterprise customers worldwide, with regional teams for the markets they know.
A certified operator
SOC 2 Type II and ISO 27001 certified, GDPR-compliant and HIPAA-aligned — with a 99.95% availability SLA on Xyner-operated environments. The certificates exist so your vendor-risk review is short.
A model-neutral vendor
The platform routes across 12+ LLM families — OpenAI, Anthropic Claude, Google Gemini, Meta Llama, Mistral and private models. Xyner's business does not depend on steering you toward any one of them.
An enterprise specialist
Everything in the product assumes enterprise conditions: RBAC, approval gates, action budgets, audit trails, and deployment from SaaS to air-gapped. That focus is visible in what the platform does not compromise on.
What the company's platform provides
The capability set behind every Xyner engagement.
Autonomous execution
Agents accept goals, plan the steps and complete the work across systems.
Multi-agent orchestration
Specialized agents collaborate on cases with managed hand-offs and shared context.
Document understanding
Contracts, invoices and case files read, classified and extracted with citations.
System execution
Governed read-write access to ERP, CRM, ITSM, databases and APIs.
Human-in-the-loop
Approval gates and action budgets keep people over every sensitive step.
Enterprise memory
Case, customer and policy context persists across workflows.
Multi-LLM routing
12+ model families selected per task, under data-sensitivity rules.
Monitoring & audit
Every run logged, replayable and measured against its metric.
How Xyner works with enterprises
The engagement model — six phases, each with a named output.
1. Discovery
Your workflows, systems and constraints mapped with the regional team — output: a ranked use-case list.
2. Use-case scoping
One workflow selected and bounded, with a success metric agreed in writing.
3. Agent configuration
Goals, escalation rules and knowledge sources configured with your process owners in the room.
4. Integration & governance
Connectors wired under scoped credentials; RBAC, approvals and budgets set with your risk team.
5. Governed deployment
Evaluation suites, user testing, then release to your posture — cloud, VPC, on-premise or air-gapped.
6. Ongoing improvement
Production metrics reviewed, agents tuned, the next use case scoped on the same foundation.
The work customers bring us
Problem → agent action → outcome, across the functions and sectors we serve.
Customer service
Queues outgrow teams → agents resolve routine cases inside the service platform → response times drop while people handle the judgement work.
Banking operations
KYC and onboarding files assemble slowly → agents gather documents, screen against policy and prepare analyst-ready cases → shorter onboarding under full audit.
Finance & accounting
Matching and reconciliation stretch the close → agents match, post within tolerance and escalate breaks → an earlier close with evidence attached.
Human resources
Onboarding crosses a dozen systems → agents provision, schedule and chase approvals → day-one readiness as the default.
IT service management
Standard requests bury the desk → agents fulfil access and reset requests under approval rules → engineers reclaim their calendars.
Procurement
Match exceptions stall payments → agents reconcile PO, receipt and invoice and chase documents → suppliers paid on schedule.
Healthcare administration
Referral and claims paperwork drains clinicians → agents assemble and check files for clinical review → more time at the bedside, HIPAA-aligned throughout.
Public sector
Citizen requests need speed and accountability → agents process eligible cases with full audit trails → faster service that stands up to scrutiny.
Logistics & trade
Shipment exceptions and document checks pile up → agents reconcile manifests and chase missing paperwork → fewer delays at the ports and in the books.
We integrate with what you already own
1,000+ governed connectors across the categories that define an enterprise estate.
ERP & finance
SAP, Oracle and finance platforms — documents, postings, reconciliations.
CRM & service
Salesforce, ServiceNow and service desks — cases, tickets, SLAs.
HR & workforce
Workday, HRMS and payroll — onboarding, requests, records.
Data platforms
Databases, warehouses, document repositories — queries with lineage.
Email & collaboration
Mailboxes, chat and calendars — intake, approvals, updates.
APIs & custom systems
REST and SOAP to everything else — scoped, logged, replayable.
Every integration call runs through the platform's governed execution layer — permissioned, logged and replayable, whether the connector was pre-built or custom.
Deployment options the company stands behind
From SaaS speed to air-gapped isolation — supported, not merely tolerated.
SaaS & dedicated VPC
Xyner-operated, with a 99.95% availability SLA — or a dedicated VPC for tenancy isolation.
Managed control plane, your data plane
We keep the software current; your data and execution stay in your environment.
On-premise, sovereign & air-gapped
Kubernetes in your data center or a disconnected enclave, private models included.
The governance a company must prove, not promise
Eight controls your risk team can inspect during evaluation.
Identity & RBAC
Scoped permissions for every agent and every human role.
Approval gates
Sensitive actions held for named approvers, with context.
Audit trails
Every step and decision logged, replayable months later.
Action budgets
Hard caps before human review, per agent and workflow.
LLM governance
Data classes bound to approved or private models by rule.
Data residency
Postures that keep regulated data inside its boundary.
Certifications
SOC 2 Type II, ISO 27001, GDPR-compliant, HIPAA-aligned.
Continuous evaluation
Suites and drift detection gate every change to every agent.
What you get that tools alone cannot give
The company-level comparison: outcomes versus instruments.
| Dimension | Traditional RPA | GenAI assistant | Agentic AI with Xyner |
|---|---|---|---|
| Accountability | Yours, after handover | Nobody owns outcomes | One company, platform through delivery |
| Scope of work | Scripted fragments | Suggestions on demand | Goals completed across systems |
| Exception handling | Queue for humans | Entirely human | Resolved in policy or escalated with context |
| Governance | Bolted on | Thin or absent | RBAC, approvals, budgets, audit built in |
| Knowledge | None | Generic | Your documents and data, cited |
| Integration depth | Screen scraping | Read-mostly | Governed read-write, 1,000+ connectors |
| Deployment range | Where bots run | Vendor cloud only | SaaS to sovereign and air-gapped |
| Regional presence | Varies by reseller | Remote support | Six offices across three regions |
How to evaluate an agentic AI company — and engage one
Ten steps that keep a vendor decision grounded in evidence.
1. Define what you need
Workflows, systems, data postures and governance requirements — written before vendor calls.
2. Shortlist on substance
Platform depth, integration coverage and delivery capability — not narrative.
3. Probe the platform
Ask how agents are built, tested, governed and monitored — and see each answer live.
4. Probe the delivery
Who shows up, from which office, with what method — implementation is people.
5. Verify certifications
SOC 2 Type II, ISO 27001, GDPR and HIPAA posture — documents, not logos.
6. Run a scoped PoC
One real workflow, bounded data and actions, a success metric agreed in writing.
7. Test the governance
Trigger an approval, exhaust an action budget, replay an audit trail — during the PoC.
8. Deploy to production
Move the proven agent to your posture — cloud, VPC, on-premise or air-gapped.
9. Measure the outcome
Weeks of production numbers against the PoC metric — the renewal case writes itself or it does not.
10. Scale the relationship
Expand use cases on the same foundation, shifting operation to your team as fast as you want it.
Xyner worldwide
Six offices, one accountable company
Xyner is headquartered in New York (Global HQ, 124 E 14th Street) with offices in Chennai, Dubai, Riyadh, Singapore and Manama — platform engineering and enterprise delivery under one roof, serving customers worldwide. Reach us at sales@xyner.ai.
Frequently asked questions — choosing an agentic AI company
What enterprise buyers ask when they evaluate Xyner.
What does an agentic AI company do?
An agentic AI company builds and operates the technology for autonomous AI agents — software that plans and completes multi-step business work — and helps enterprises put that technology into production. The strongest ones combine a real platform with real delivery capability, so accountability does not end at the license.
What does Xyner offer?
Xyner offers an enterprise agentic AI platform — 250+ agentic capabilities, 1,000+ pre-built integrations, 12+ LLM families, full governance — together with the implementation work to take enterprise use cases from scoping to governed production.
Where does Xyner operate?
Xyner is headquartered in New York (Global HQ, 124 E 14th Street) with offices in Chennai, Dubai, Riyadh, Singapore and Manama, serving enterprise customers worldwide from those locations.
Does Xyner implement, or just license software?
Both. Xyner licenses the platform and delivers implementations: use-case scoping, agent configuration, system integration, governance setup, testing and deployment. Customers choose how much delivery support they want — many run later agents themselves after the first one.
How does an engagement with Xyner work?
Engagements start with a scoped first use case: discovery, a measurable success metric, configuration and integration, governance setup, user testing and production deployment — typically 6 to 12 weeks for the first workflow, then scale-out on the same foundation.
What should we look for when choosing an agentic AI company?
Look for platform depth you can verify in a proof of concept, integration coverage for your estate, governance a risk team can approve, security certifications, deployment options for your data posture, and delivery capability in your region — then test all of it on one real workflow before committing broadly.
What security certifications does Xyner hold?
Xyner AI is SOC 2 Type II and ISO 27001 certified, GDPR-compliant and HIPAA-aligned, with role-based access control, human-in-the-loop approvals, action budgets and complete audit trails built into the platform.
Which deployment options does Xyner support?
SaaS, dedicated VPC, hybrid control and data planes, on-premise Kubernetes, and sovereign or air-gapped installations — with a 99.95% availability SLA on Xyner-operated environments.
Can Xyner's platform integrate with our systems?
Yes. 1,000+ pre-built integrations cover SAP, Oracle, Microsoft, Salesforce, ServiceNow and Workday, plus databases, document repositories and REST/SOAP APIs for custom systems.
Is Xyner tied to one AI model vendor?
No. The platform routes across 12+ LLM families — OpenAI, Anthropic Claude, Google Gemini, Meta Llama, Mistral and privately hosted models — so model choice follows your data policy and task needs, not a single vendor relationship.
How do humans stay in control of Xyner's agents?
Human-in-the-loop controls are built into the platform: approval gates for sensitive actions, action budgets, role-based permissions and an audit trail of every step an agent takes.
How quickly can Xyner take a use case to production?
A focused first use case typically reaches production in 6 to 12 weeks, including integration and governance setup. Subsequent use cases reuse that foundation and move faster.
Get to know the rest
The platform we build, the solutions we deliver, and the regions we serve.
Talk to an Agentic AI Company that ships
Platform and implementation, one accountable partner — from New York, Chennai, Dubai, Riyadh, Singapore and Manama.
Request a Xyner AI Demo Discuss Your Agentic AI Use Case