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TalkDoc is proud to announce $385K raised, led by Duro VCRead more

TalkDoc Private AI

AI that multiplies excellent care—without taking your privacy.

TalkDoc’s advantage is clinician-led Medicaid care with measurable outcomes. Private AI exists to free clinician time, extend quality to more people, and return value to members who choose to contribute—under separate consent and clinician supervision.

Private AI · staged rolloutPaid contribution · roadmap

Care is available without contributing data. Interest is not consent. Participation is never assumed.

Amrutha, TalkDoc's purple companion, holds a consent tokenchoiceprivacyvalue

The choice standard

No buried permission. No single switch that signs away the future.

The planned contribution program is designed around a clear offer for a specific purpose. Clinical use of a model is a second, separate choice.

01

Private by default

Your care record is not automatically enrolled in model training.

02

One offer at a time

See the data involved, purpose, duration, recipient, and payment logic before choosing.

03

A durable receipt

The planned consent center will keep a human-readable record of every decision.

04

Withdrawal rules up front

You should know what can stop going forward and what cannot be undone once a completed training run is incorporated.

The direction

Care creates learning. Learning should improve care—and return value to the member.

  1. 1
    Available

    Receive human-led care

    A licensed clinician owns the relationship, decisions, and follow-through.

  2. 2
    Roadmap

    Choose an eligible contribution

    A future offer would identify the specified, minimized information, the privacy standard, and the exact terms.

  3. 3
    Staged rollout

    Learn inside a protected boundary

    Approved workloads are designed to process approved data inside confidential computing.

  4. 4
    Required gate

    Validate before clinical use

    Models must earn their way into care through technical, clinical, privacy, and bias evaluation.

  5. 5
    Future

    Support the same care relationship

    A contribution is intended to improve a domain model, not create a member-linked model. Under a separate clinical choice, a validated capability may use relevant current context to help your clinician—not act as an autonomous doctor.

  6. 6
    Roadmap

    Share created value

    If an eligible contribution creates commercial value, TalkDoc's goal is direct member compensation with a clear receipt. The intended product is model capability or aggregate results—not participant records.

IronEgg architecture

A private room with a guest list, a lock, and a log.

Confidential computing reduces who can inspect data while it is being processed. Attestation can help verify what code is inside. Encryption and short-lived keys reduce exposure outside that boundary.

Security architecture
01

Hardware isolation

Protected memory is designed to be isolated from the surrounding host and ordinary operators.

02

Attested software

The architecture can produce evidence about the running image for an approved verifier. Direct browser and device verification remains staged.

03

Encrypted envelopes

Requests and responses are designed to cross the boundary as ciphertext.

04

Ephemeral identity keys

Keys are created for a running environment and destroyed on shutdown rather than stored as ordinary files.

Scope matters: not every TalkDoc service runs inside IronEgg. Scheduling, billing, Community, phone workflows, and some clinician tools use separate systems with their own controls. GPU attestation, client-side verification, OHTTP routing, and independent assurance remain staged work.

Personalization, without pretending

A custom model should earn trust before it earns a place in care.

Today

Care + general clinical tools

Clinicians deliver care. AI may help collect information or draft material in gated workflows.

Next

Outcome-labeled model improvement

With separate permission, eligible contributions may help improve domain models inside protected infrastructure.

Direction

Member-specific support

Under a separate clinical choice, a validated capability may use relevant current history and goals to support the member's clinician. This is distinct from contribution to domain-model training and does not independently diagnose, prescribe, or treat.

Product truth

What is available, what is controlled, and what is still a plan.

Clinician-led virtual careAvailable

California eligibility and clinician capacity apply.

TalkDoc CommunityAvailable

Pseudonymous support; Community posts excluded from training by default.

Private patient AIGated rollout

Confidential-compute architecture exists; availability varies by workflow and environment.

TalkDoc Connect outcomesRolling out with partner plans

Plan-facing, privacy-protected aggregate reporting; availability remains limited.

Paid member contributionRoadmap

No general availability or guaranteed payment today.

Member-specific clinical modelsResearch direction

Requires consent design, model evaluation, clinical governance, and legal review.

Non-negotiable guardrails

The model can be ambitious. The boundaries must be boringly clear.

  • A licensed clinician remains responsible
  • No training on Community posts by default
  • The planned contribution program keeps care separate
  • No deployment without clinical validation
  • No emergency or 24/7 monitoring promise
  • No claim that deidentification makes re-identification impossible

Start with a person. Add AI only when it earns your trust.

TalkDoc care is available today for eligible California members. The paid contribution and member-specific model program remains in development.

TalkDoc Private AI — Your care, your choice, your share