Product studio · AI and blockchain

We build products people actually use, in AI and on-chain.

Parakram Labs is a product studio. We design, ship, and operate our own software, mostly where AI or blockchain changes what a product can do. SomniaForge, our first, is live on the Somnia network.

01 / AI

Products where the model does real work.

Not a chat box bolted onto a form. We build software where language models carry a workflow end to end: reading, deciding, generating, checking. The model does the labour; the product makes it safe, measurable, and worth paying for.

02 / Blockchain

Products that run on real chains.

Sub-second finality and programmable settlement change what an application can be. We build for that: SDKs, live event streams, monitors, and the tooling developers need to ship on-chain without hand-wiring everything.

03 / Studio

We build them, then we run them.

Parakram Labs is a product studio, not an agency. Each product is ours: we design it, ship it, operate it in production, and keep improving it. Some combine AI and blockchain. Most start with one and reach for the other only when it earns its place.

First product

SomniaForge: the dApp builder's stack for Somnia.

One toolkit to go from an idea to a deployed, monitored application on the Somnia network. It is where our AI work and our blockchain work meet: an agent that builds, an SDK that connects, a monitor that watches. Three tools, one shared primitive, the contract manifest.

01 / ArchitectAgent

Plain-English prompts to production Solidity. Ten audited templates, retrieval over a curated knowledge base, and a contract manifest published to Somnia Data Streams on every deploy.

02 / AdapterSDK

Zero-config TypeScript. fromManifest() discovers ABIs, addresses and event schemas from the on-chain manifest. Targets React, React Native, Node and Unity WebGL.

03 / MonitorRuntime

Subscribes to the same manifests, watches every protected contract, and pushes severity-scored alerts through Somnia's Reactivity precompile. Sub-second, no polling.

Agent layer on Google Cloud Vertex AI · MIT-licensed SDK on npm as @somniaforge/sdk · Deploys are non-custodial
somniaforge.com →
How we work
P.01

Operate what we ship

A product is not done when it launches. We run ours in production, watch the numbers, and keep the on-call.

P.02

Automation with a human gate

Models and agents do the work; a person approves anything irreversible. We never hold keys, funds, or the final say on someone's behalf.

P.03

Measured claims

If we say a number, we can show where it came from. Costs are measured in CI, evaluations are kept, and claims that cannot be checked do not ship.

P.04

Open by default

SDKs and primitives are MIT-licensed and published on npm. Adoption compounds faster than secrecy.

Where next

AI and blockchain are where we start. Not where we stop.

The pattern that built SomniaForge travels: find a workflow that is slow, expensive, or opaque; put a model or a ledger where it changes the economics; ship the product; run it. The next one could sit in finance, legal, or construction, wherever someone who knows the domain wants to build it with us.

  • Finance

    Reconciliation, reporting, and settlement where a ledger and a model both pull their weight.

  • Legal

    Documents that get read, compared, and drafted by software, with a person signing off.

  • Construction

    Submittals, RFIs, and site records: paperwork-heavy work that a model can carry.

  • Your domain

    If you know a workflow inside out and want a product built around it, we would like to hear about it.

The lab

Two engineers, one product at a time.

Parakram Labs is a small studio. We pick a workflow where AI or blockchain changes the economics, build the product, and run it ourselves. SomniaForge is the first.

Built on Google CloudNVIDIA Inception · 2026Somnia ecosystem builder
  • Aditya Srivastava
    Founder · Blockchain & AI Engineer

    Builds the on-chain side: contracts, SDKs, and the agents that deploy them. 12× hackathon winner.

  • Vasundhara Pandey
    Co-founder · AI & Python Engineer

    Builds the model side: agent loops, retrieval, and evaluation. 2× hackathon winner across 10+ competitions.

Built to be used, not demoed.