RSP SDK — Coming Soon

Embed Trust Infrastructure
in Your Product.

Your AI product processes customer data through LLMs. Your enterprise prospects require proof that sensitive data never reaches the model in plaintext. RSP gives you that proof — as an SDK.

The Enterprise Wall

Every AI SaaS product hits the same wall. Your product works. Your customers love it. Then a bank, insurer, or healthcare provider asks: “Where does our data go?”

The honest answer — “To OpenAI / Anthropic / Google for inference” — kills the deal. SOC 2 does not solve this. Encryption in transit does not solve this. “We do not train on your data” does not solve this. The data still reaches the model in plaintext. For regulated industries, that is the end of the conversation.

53% of organisations cite data privacy as their foremost barrier to AI adoption. Your product is not the problem. The trust gap is.

RSP as an Integration Layer

The Presential RSP SDK sits between your application and the LLM. Before any data reaches the model, RSP detects and replaces sensitive entities — names, addresses, account numbers, financial data, medical information, commercial terms — with semantically equivalent fictional alternatives. The model processes fiction. Your product returns facts.

The transformation is fully reversible. Your users see real data in the final output. The LLM never does.

integration.ts

// Before: your current LLM call

const response = await llm.complete({

model: "claude-sonnet-4-20250514",

messages: [{ role: "user", content: transcript }]

});

// After: with RSP

import { Presential } from '@presential/sdk';

const rsp = new Presential({ apiKey: process.env.PRESENTIAL_KEY });

const { transformed, session } = await rsp.transform(transcript, systemPrompt);

const response = await llm.complete({

model: "claude-sonnet-4-20250514",

messages: [

{ role: "system", content: systemPrompt },

{ role: "user", content: transformed }

]

});

const finalOutput = await rsp.reverse(response.text, session);

The system prompt tells RSP what the model needs to do — so it knows what to preserve and what to redact. A summarisation task keeps different entities than an exposure calculation. Three lines of integration. Full context-aware transformation. Complete reversibility.

What Your Customers Get

RSP turns your product from “not approved for regulated data” to “approved and auditable.”

Regulated Market Access

Your product becomes deployable in financial services, insurance, healthcare, legal, and government — markets that currently reject AI SaaS products that send data to external models.

Enterprise Procurement Unlock

Pass security reviews, DPIAs, and vendor risk assessments that currently block your deals. RSP provides the audit trail and data governance evidence procurement teams require.

RSP CertifiedComing Soon

A verifiable trust mark that signals to enterprise buyers: "This product transforms sensitive data before AI inference. No real data reaches the model." The SOC 2 of AI data handling.

Architecture

RSP operates as an inline transformation layer. Your application sends text to the RSP SDK. The SDK detects sensitive entities, replaces them with semantically equivalent alternatives, and returns the transformed text for LLM inference. After inference, the SDK reverses the transformation — mapping fictional entities back to originals.

The entire round trip adds sub-second overhead. Session state is ephemeral and the SDK scales horizontally.

Your App

RSP SDK

Transform

LLM API

RSP SDK

Reverse

Your App

Sub-second transformation overhead

Session-scoped processing with ephemeral state

Model-agnostic: works with any LLM API

On-premises deployment available for air-gapped environments

Fail-closed: uncertain entities are redacted, never passed

Full audit trail with SHA-256 verification per session

Available as npm package, Python package, or REST API

Build With Us

The RSP SDK is in development. We are looking for design partners — AI SaaS companies who want to unlock regulated enterprise markets and are willing to integrate early, provide feedback, and shape the API surface.

Design partners receive:

—Priority access to the SDK beta

—Direct engineering support during integration

—Co-marketing as an RSP Certified launch partner