Parinita Atma
Your Sovereign Digital Twin
Persistent. Voice-capable. Autonomously acting on your behalf.
Atma is the sovereign digital twin platform — a persistent, intelligent, voice-capable, autonomously-acting AI representation of an individual user, built in seconds through Central. Owned by the user, governed by user-defined rules, anchored on Chrysalis as proof of ownership, and operating continuously across six modes whether the user is present or not.
AI Agents Are Stateless and Context-Free
Standard AI agents are stateless, task-scoped, and context-window-only. They are explicitly user-invoked and forget everything between sessions. No agent represents you while you are offline. No agent has your authority, your history, or your voice.
Personalization is rebuilt per product. Governance is undocumented. No AI entity accompanies you persistently across your entire digital workflow. The digital twin — a persistent, auditable, governable, portable self — does not exist in any current platform.
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Stateless Agents
Standard agents are stateless and context-window-only. They forget everything between sessions and must be re-invoked explicitly.
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No Offline Representation
When you are offline, no AI entity handles your inbound communication with your authority, your style, and your governance rules.
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No Portable AI Identity
Personalization is per-product and non-portable. No persistent AI identity accompanies you across your entire digital workflow.
Six modes. Two governance layers. One you.
Atma is not a chatbot, a memory feature, or a simple autonomous agent. It is a sovereign AI operating entity — persistent, auditable, governable, and portable — that accompanies and acts for you across the entire Parinita fabric.
Two-layer governance: natural-language rules in Layer 1 (parsed by Conduit, hashed to Chrysalis as policy rationale), structured permission matrix in JSON in Layer 2. Both auditable on-chain and updatable by you.
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Six Operating Modes
Passive Enrichment, Reactive Co-Pilot, Active Representation, Workload-Completing, Voice-Enabled (via Vaak), Silent Co-Pilot. Same twin, different surfaces.
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Two-Layer Governance
Layer 1: natural-language rules (parsed by Conduit, hashed to Chrysalis). Layer 2: structured permission matrix in JSON. Both auditable and updatable.
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Before-With-Updates Protocol
Atma never acts silently. Six steps: detection, pre-notification, staged execution, escalation, completion, Chrysalis log.
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Voice via Vaak
Sovereign multi-language TTS through the Vaak voice synthesis agent on Plane 2 Blackwell and Plane 7 Qualcomm Cloud AI 100 Ultra. Workload reports in your own voice.
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Built for Portability
Twin Export is a one-time fee — take your twin elsewhere. Deliberate architectural choice: retention through capability, not lock-in.
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Chorus Twin-to-Twin
Twins negotiate with each other through Chorus. Your twin can delegate work to a colleague's twin under explicit scoped permission.
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Chrysalis Ownership Proof
Ownership anchored on Chrysalis at creation. Every action, decision, and delegation logged immutably — the twin is yours, provably.
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Passive Enrichment
Silently learns from every interaction across the Parinita fabric, refining behavioral model and preference vectors — no user action required.
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Atma Context Bundling
User-specific context and selective disclosure travel with every Chorus task. Agents act on your behalf with your identity and policies attached.
The Plane Model
Orchestra introduces "planes" — logical groupings of hardware optimized for a specific workload class. Unlike Kubernetes node pools, planes represent fundamentally different hardware architectures with different drivers, network requirements, and scheduling semantics.
The plane model is what makes Orchestra different from every other orchestration tool. Kubernetes sees nodes. Orchestra sees purpose-built hardware tiers and routes workloads accordingly.
Two layers. Before-With-Updates protocol. Always auditable.
Layer 1: natural-language rules that Conduit parses into structured policy and hashes to Chrysalis. Layer 2: structured permission matrix in JSON defining exactly what Atma can do autonomously versus what requires human confirmation.
- 01Mode SelectionWhich of the six operating modes applies to this trigger: passive, reactive, active, completing, voice, or silent?
- 02Governance Layer 1 CheckDo the natural-language rules permit this action? Conduit parses policy; Chrysalis has the signed rationale.
- 03Governance Layer 2 CheckDoes the permission matrix in JSON authorize this specific action for this agent/product combination?
- 04Escalation DecisionIs this decision within the permission matrix? If not, escalate to user before proceeding.
- 05Pre-NotificationSend Before-With-Updates pre-notification: plan, estimated time, governance rules applied. User can approve, modify, or cancel.
- 06ExecutionStaged execution with progress updates. Escalate on any out-of-matrix decision encountered during execution.
- 07Completion AccountSend structured completion account to user: what was done, what decisions were made, what was escalated.
- 08Chrysalis LogLog the entire execution record on Chrysalis: actions, decisions, escalations, completion state.
import atma
twin = atma.Client(seat_id='seat_8f3k2...').get_twin()
twin.set_rule('Represent my analytical position in briefings but escalate any recommendation above $500K')
twin.activate_mode('active_representation')Proven at scale. Not in a lab.
Parinita AI Edge is the production deployment of the Parinita platform and the largest heterogeneous AI infrastructure deployment in the United States.
Parinita AI Edge
The most complex heterogeneous AI infrastructure in the United States. 101 sites, 9 planes, 12,000+ nodes, 4 accelerator vendors, dual network fabrics, four-layer tenant isolation — all through a single sovereign control plane.
Network & Security Infrastructure
- Multi-vendor acceleratorsFour accelerator vendors — Intel Habana, NVIDIA, AMD, Qualcomm — orchestrated through one control plane with unified scheduling, monitoring, and lifecycle management.
- Dual-fabric networkingCisco production fabric and Arista GPU backend fabric operating as a coordinated system, bridged by identity-aware routing.
- Nationwide scale101 sites across 42 U.S. states, each operating autonomously with a local control agent and a sovereign cross-site routing plane.
- Multi-tenant isolationFour-layer defense-in-depth: VXLAN VNIs, identity-routing, Palo Alto firewalls, and Cilium eBPF — validated across every plane and site.
- Compliance readinessFIPS 140-2 at launch, with FedRAMP Moderate, CJIS, and IL4/IL5 certification paths active through Parinita compliance profiles.
- Sub-millisecond routingEvery request classified and dispatched in under 1ms, enabling real-time SLA enforcement without perceptible overhead.
Built for individuals who need autonomous representation.
Atma does not ask you to change your workflows or your tools. It operates across every Parinita surface, representing you with your authority, your context, and your governance rules.
You are frequently offline or in back-to-back meetings. Atma handles inbound messages with your style and authority, attends meetings on your behalf, completes delegated workloads, and briefs you when you return.
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Executive Presence at Scale
Leaders who need AI representation in meetings, AI-assisted governance, and a twin that handles delegation during back-to-back schedules.
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Regulated Professional Workflows
Healthcare, legal, and financial professionals who need an AI that acts within strict governance rules with a full Chrysalis audit trail.
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Research and Knowledge Work
Researchers and analysts who need a twin that passively enriches context across every interaction and handles literature review and synthesis while offline.
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Customer and Partner Representation
Professionals with high-volume inbound communication. Atma handles responses within governance rules, escalating only when the decision is outside the permission matrix.
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Twin-to-Twin Enterprise Coordination
Enterprises deploying Atma organization-wide. Twins coordinate via Chorus — delegating tasks between colleagues' twins with scoped permissions and Chrysalis audit.
Setup Models
Atma is included in the $175 Parinita seat. Setup takes seconds through Central — define your governance rules, set your permission matrix, and your twin begins operating across all six modes.
Included in $175/seat — all six modes, Chrysalis ownership-proof | Best for: All Parinita seat-holders
Vaak voice synthesis add-on — workload reports and meeting representation in your own voice | Pricing TBD
One-time fee — export your twin to use elsewhere. Portability by design, not by accident.
Request a Demo
Our engineering team has deployed Atma across 101 sites as the persistent twin layer for every Parinita seat. We bring that operational experience to every deployment conversation.