Vibrium AI
Also known as: Vibrium, Vibrium AI, Vibrium OS, Vibrium Voice, Vibrium Flow
Enterprise agentic platform of autonomous Digital Workers that perceive, reason, and act across voice, WhatsApp, email, chat, and app channels, orchestrating processes end to end with guardrails and audit.
Vibrium is a Gurugram, India based enterprise agentic AI platform that deploys autonomous Digital Workers for customer-facing business processes in banking, NBFCs, insurance, retail, healthcare, payments, telecom, travel and hospitality.
Its platform, Vibrium OS, is organized as five layers: agent orchestration routing each interaction to the right agent, a workflow engine running multi-step journeys across systems that self-heals when steps fail, a memory and context layer keeping every interaction informed so customers never repeat themselves, a compliance and audit layer with human-in-the-loop on high-stakes actions and immutable per-action audit records, and an integration layer with more than fifty pre-built connectors that runs on top of legacy systems.
Customers choose from a library of named agents, each with its own blueprint page. Kai handles collections and recovery, Ryan real time intent capture, Aria onboarding, Victor KYC verification and Marcus loan management. Customers compose these agents in a no code workflow builder alongside their own knowledge base and launch campaigns that span voice, WhatsApp, SMS and email. Vibrium Voice carries inbound and outbound calls end to end with interruptible speech of human quality. The platform is fully containerized.
It deploys on premise with zero external network calls, in a single tenant private cloud VPC with configurable geographic boundaries, or as a hybrid, and keeps data within India, the US, the EU or the customer's own data center. Customers can run open source LLMs such as LLaMA and Mistral entirely on premise, under their own control. For regulated industries under RBI, IRDAI, HIPAA and GDPR, it provides RBAC, separation of duties, AES-256 encryption and PII redaction.
Akshat Saxena founded the company in 2025, and it raised about $1 million in seed funding in February 2026. Its enterprise clients include Aditya Birla Capital, Pine Labs, HT Media, BillCut and AuthBridge.
Vendor details
Canonical URL
https://www.vibrium.ai
Category
Enterprise operations agent
Funding status
Private, seed stage. Based in Gurgaon, India, led by chief executive Akshat Saxena, having raised about one million dollars in seed funding in early 2026.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Digital Workers connect to enterprise data sources and tools across voice, WhatsApp, email, chat, and app channels, building a unified customer view and orchestrating actions across systems, deployable on-premise, in private cloud, or hybrid.
In practice
A lender wants overdue accounts worked across voice, WhatsApp, SMS and email without adding staff. Vibrium's Kai agent handles collections and recovery on those channels, the team measures it on recovery rate, and high stakes cases go to a person.
An Indian bank cannot let customer data leave the country or its own data center. Vibrium deploys fully containerized on premise with zero external network calls, runs open source models such as LLaMA and Mistral inside the bank's infrastructure, and logs every conversation and decision as an immutable record.
A growth team wants to reach prospects the moment they show interest on the site or app. Vibrium's Ryan agent calls them in real time on that intent signal, and the team's own workflow builder chains it with condition, API call and wait steps before a human handoff.
Sources & related URLs
Research sources
Agentic Index coverage score
11.0 / 14 capabilities · 79%
| Integrations & Tool Calling | Full |
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The platform has 50 plus integrations, with pre-built enterprise connectors wired to every channel and core system without migration, and the integration layer runs on top of legacy systems. Agents take authenticated action in outside systems, as in the workflow builder's Place Order step marked Action into ERP, with API Call among the step types. SourceVibrium, vibrium.ai homepageread 2026-09-07 |
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| Workflow Orchestration | Full |
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Vibrium OS has a named five-layer architecture. Its Workflow Engine runs multi-step journeys across systems and self-heals when steps fail, an Agent Orchestration layer routes every interaction to the right agent, and a customer-facing workflow builder composes multiple agents with condition, API call, human handoff and wait steps, so customers edit the workflows themselves. SourceVibrium, vibrium.ai homepageread 2026-09-07 |
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| Knowledge Grounding & RAG | Full |
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Customers connect their existing knowledge base or add a new one, and the workflow builder shows a connected knowledge base labeled RAG over a corpus of documents feeding the agent. The knowledge base persists and is queried per interaction, and a customer 360 view assembles context. SourceVibrium, vibrium.ai homepageread 2026-09-07 |
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| Human Oversight & Guardrails | Full |
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The Compliance and Audit layer makes human-in-the-loop on high stakes a platform default, and Human Handoff is a named step type in the customer's own workflow builder. The dispute agent resolves standard cases per SOP and escalates only edge cases. SourceVibrium, vibrium.ai homepageread 2026-09-07 |
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| Security, Identity & Governance | Full |
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Role-Based Access Control gives granular permissions for data access, with separation of duties between teams and comprehensive access logging for every login and query, alongside AES-256 encryption everywhere and PII redaction with configurable retention policies, and the compliance page can be read without a call. Homepage badges read ISO 27001 Certified and SOC 2 Type II, while the security page's own table is titled frameworks we align with and describes SOC 2 as audit-ready documentation and ISO 27001 as management system alignment. No SOC 2 report or ISO 27001 certificate is published to settle the conflict. SourceVibrium, vibrium.ai/platform/securityread 2026-09-07 |
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| Observability & Auditability | Full |
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Every conversation, decision and system access is logged as an immutable record for forensic analysis, every action is audit-ready with atomic outcome visibility, and the dispute agent keeps audit-ready dispute trails. These per action and per decision records are Vibrium's own logs, and they show what ran and why. SourceVibrium, vibrium.ai/platform/security and homepageread 2026-09-07 |
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| Memory & State Persistence | Partial |
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Memory and Context is one of the five named platform layers, so every interaction is informed by full context, customers never repeat themselves and live data arrives mid-conversation. Persistence across interactions per customer is claimed by name, but no scope or lifetime is stated. Nothing published says where the memory lives, per user or per workflow, how long it persists, or how it is deleted for one customer. Vibrium also claims accuracy that compounds over time. SourceVibrium, vibrium.ai homepageread 2026-09-07 |
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| Deployment & Data Residency | Full |
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Customers choose both the environment and the region. There are three deployment architectures, fully containerized on-premise with zero external network calls, single-tenant private cloud VPC with dedicated compute and configurable geographic boundaries, and hybrid with sensitive data on-premise. Geographic data residency keeps all data within the specified geography, India, US or EU, or the customer's own data center, with no cross-border movement. One example is an all-India on-premise bank deployment. SourceVibrium, vibrium.ai/platform/securityread 2026-09-07 |
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| Prebuilt Agents / Templates / Packs | Full |
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Customers choose from a browsable library of named agents, Kai for collections and recovery, Ryan for intent capture, Aria for onboarding, Victor for verification and Marcus for loan management, each with its own blueprint page and each added individually to a workflow canvas. Each does its own whole job. Four further agents, for customer support, investment advisor, dispute resolution and credit memorandum, are marked Soon. SourceVibrium, vibrium.ai homepage and blueprint pagesread 2026-09-07 |
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| Triggers & Channel Coverage | Full |
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Agents operate across voice, WhatsApp, SMS and email, the four channels the collections agent uses, the workflow builder shows inbound voice and WhatsApp intake, and campaigns launch multi-channel multi-step in clicks. Events start work too. The intent capture agent calls customers in real time when they show intent on the site or app, an event-driven trigger from behavioral signals, and case studies describe event-driven re-engagement journeys. SourceVibrium, vibrium.ai homepage and blueprint pagesread 2026-09-07 |
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| Model Flexibility & Routing | Full |
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Under LLM Choice and Control, customers can deploy open-source LLMs such as LLaMA and Mistral entirely on-premise, with no dependency on third-party APIs if prohibited, and fine-tuned models stay within the customer's infrastructure. The admin chooses among named models at deployment, so the customer decides which model runs, and there is no in-product runtime picker. Sourcevibrium.ai/platform/securityread 2026-09-07 |
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| APIs / SDKs / MCP Extensibility | Not documented |
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Nothing lets an outside caller drive the platform, and there is no developer portal, API reference, SDK or MCP server. The DIY Agent Builder and Agent Studio are a no-code build surface, not an API, the hybrid architecture's encrypted API calls and the workflow builder's API Call step are the platform calling out, and the unified agent-to-agent communication layer is described only as internal token optimization. SourceVibrium, vibrium.ai homepage, security page, footer and developer proberead 2026-09-07 |
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| Testing, Debugging & Optimization | Partial |
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Agents are measured on real outcomes like recovery rate and renewal lift, with atomic outcome visibility and published per-agent performance metrics, which are live operational metrics. The workflow builder shows a test run of a built workflow before launch, but no harness, scored cases or release gate is described, and there is no evaluation framework, holdout or controlled experiment. SourceVibrium, vibrium.ai homepageread 2026-09-07 |
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| Browser / Computer-use | Not documented |
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No browser, desktop or computer control is described. The agents act through channels, namely voice, WhatsApp, SMS and email, and through system integrations such as ERP actions and API calls, and voice workers navigating telephone interactions drive a system through a non-visual interface. SourceVibrium, vibrium.airead 2026-09-07 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
No public pricing. Paid access is through sales.
What is public
Nothing. There is no pricing page, rate card or plan name. Demo booking and an ROI calculator built on the customer's own costs are the only commercial paths, and every deal is contact only.
Cost watchouts
Deployment model shapes cost. On premises and VPC deployments carry infrastructure the customer runs. Vibrium markets a one week deployment with an embedded value engineer, and how that service is charged is not published.
Variable cost rationale
No billing unit or figure is published. The product works across interactions and channels, and Vibrium's ROI framing is per interaction, but nothing says whether either is metered. No cap, minimum or commitment is published either, so nothing public shows what limits the bill.
Sales call required
Yes, required for paid access
Free / trial
None published
Lowest paid plan
Not published
Key ambiguities
Vibrium does not publish whether billing is per interaction, per Digital Worker, per channel or a platform fee. The ROI calculator prices the customer's manual cost, not Vibrium's.
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Alternatives to Vibrium AI
The closest documented capability profiles to Vibrium AI among enterprise operations agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
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- Workato12.0 / 14Adds documented APIs, SDKs & MCP Extensibility
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded