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HashmarkLabs

Hashmark Labs · AI · Web3 · FinTech

We build the AI and Web3 systems others can't.

We design, build and launch AI and Web3 products, then sell them. Senior teams across engineering, AI, product and tokenomics, growth, and BD and sales, at whatever stage you're at.

Start a projectSee the work
systems delivered
70+
systems delivered
years of senior leadership
6.5+
years of senior leadership
industry verticals
11
industry verticals

Shipped on Ethereum · Solana · Cardano · Polygon and more

Intake & contextstep 1Discovery & architecturestep 2Executionstep 3QA, security & launchstep 4vision · roadmapdocs · codebaseconstraints · objectivesabsorbed up front· research· system design· protocol modelling· security & AI/data planweekly milestones · code firstauditProduction handoverpost-launch support1The architects on day oneare the ones who build it✓ weekly deliverables✓ verifiable status✓ named engagement leadworkin productiona milestone

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Project
Engineering
Discipline
Practice method
Status
Used on every engagement
Figure
FIG. P1
FIG. P1: How a system gets built, simplified

Domains

AI is rewriting software. Web3 is rewriting money. We build where they collide.

From agent infrastructure to restaking, and everything where the two meet. Pick a domain to see what we build and the technology behind it.

AI

Anyone can call a model. We make it right, fast and cheap enough to trust.

Agents, retrieval and decision systems that run in production, measured from the first build.

Every AI capability, in detail

  • AI agents & agentic workflows

    Single and multi-⁠agent systems · Tool use and integrations · Human-⁠in-⁠the-⁠loop approvals · Workflow automation

  • RAG & enterprise knowledge

    Retrieval pipelines and vector search · Hybrid search and reranking · Permission-⁠aware knowledge bases · Answers with sources

  • LLM applications

    Model selection and routing · Structured outputs · Context and prompt design · Cost and latency tuning

  • Voice & chat agents

    Chat assistants · Real-⁠time voice agents · Multilingual flows · Handoff to people

  • Document intelligence

    Extraction and classification · Multi-⁠file review · Validation against source records · Summaries with citations

  • Agent infrastructure & MCP

    MCP servers and tool gateways · Agent-⁠to-⁠agent protocols · Long-⁠term memory · Sandboxed execution

  • Computer-use & browser agents

    Browser automation · Portal and form workflows · Screen-⁠grounded actions · Approval checkpoints

  • Multimodal & vision AI

    Vision-⁠language models · OCR and layout understanding · Image and video analysis · Speech pipelines

In motion

Diagrams sit still. Our systems don't.

Two architectures of the kind we ship, drawn as they run, with the boundaries, the decisions and what watches every step. Simplified illustrations, not client data.

CONTROL PLANEtraces → eval suite → release gate → drift · cost · latency monitorsEDGEAGENT RUNTIMEDATA & TOOLSOUTPUTClientsweb · chat · voiceAPI gatewayauth · tenant scopesafe?Input guardinjection · PIIevery model callPlanchoose next stepActtool or retrievalObserveread the resultModel routerper steploop until doneor budget spentresultsHybrid searchvectors + rerankVector storeMCP gatewayscoped toolsSystemsdoneyesnoHuman reviewevidence attachedVerifierclaims vs sourcesconfident?Answerstreamed, cited1231Injection and personal data are stoppedbefore any model sees the request.2The agent loops plan, act, observe untilthe task is done or its budget runs out.3Low confidence goes to a person,with the evidence attached.simplified illustration · not client data

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FIG. A · live architecture, simplified

A production AI agent

An input guard at the edge, an agent that loops plan, act, observe under a budget, retrieval and tools behind scoped gateways, a verifier before anything reaches the user, and a person for low-confidence answers. Every step is traced and evaluated.

How we build AI systems
RISK PLANEexposure limits → liquidations → surveillance → kill switchEDGEMATCHING CORE · IN MEMORYLEDGER & SETTLEMENTON-CHAINClientsterminal · API · MMsOrder gatewaysession keysmargin ok?Pre-trade risklimits · exposureresidualSequencerone total orderMatching engineprice-timeExternal venuesresidual onlySnapshotsfast restartEvent logappend-onlyMarket dataWebSocketLedgerdouble-entryBatchernet fillsPrivate relayMEV-protectedReconcilerledger ↔ chainbalancesVaultfunds in · outblocksn−1nn+1Settlementcontract1231Every order gets one sequence number,so the book can be replayed exactly.2Fills match internally first; outsidevenues only see what's left.3Fills are netted into one transaction andrelayed privately, so nobody front-runs them.simplified illustration · not client data

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FIG. B · live architecture, simplified

An exchange with on-chain settlement

Pre-trade risk, one global sequence, in-memory matching and an append-only event log that drives market data and a double-entry ledger. Fills settle on-chain in netted batches through a private relay, reconciled against the chain.

Our Web3 capabilities

Practices

Build it. Price it. Grow it. Sell it. One firm, four practices.

Every team is senior-led and includes a Hashmark engineer, so strategy, growth, sales and partnerships are planned around how the product actually works.

Engineering

The systems other teams call too hard.

AI-integrated systems, protocol engineering, DeFi, trading infrastructure, data platforms and fintech rails, designed and built by senior engineers.

  • AI Agents & Automation
  • RAG, Search & Knowledge
  • AI Platform, Evaluation & MLOps
  • AI × Web3 Systems
  • Smart Contracts & Protocol Engineering
  • DeFi & Financial Protocols
  • DEX & Trading Infrastructure
  • Market Intelligence & Data
  • FinTech, Payments & Stablecoins
  • RWA & Tokenization
  • Blockchain Infrastructure & Scaling
  • Wallets, Identity & Cryptography
  • Security & Audit Readiness
  • Product Engineering: Web & Mobile
  • Cloud, DevOps & SRE
  • Gaming & Digital Assets
Engineering

Product & Tokenomics

Most tokens don't need to exist. Yours should earn its place.

Product strategy, tokenomics and go-to-market planning for Web3, AI and fintech ventures, designed by engineers who build protocols.

  • Product Strategy & Roadmap
  • Tokenomics & Incentive Design
  • Governance & DAO Design
  • Web3 UX Strategy
  • Architecture & Feasibility
  • Launch & GTM Architecture
  • Pricing & Business Model
Product & Tokenomics

Growth & Marketing

Attention is cheap. We go after users who stay.

Full-funnel marketing, community and brand for Web3, AI and fintech products, run by people who understand how the product works.

  • Positioning & Narrative
  • Content & Thought Leadership
  • Community Building
  • KOL & Creator Programmes
  • PR & Media Relations
  • Performance Acquisition
  • Demand Generation & Lead Capture
  • Lifecycle, Referral & Affiliate
Growth & Marketing

BD, Sales & Partnerships

Meetings with people who sign, on a pipeline you own.

Lead generation, outbound, enterprise sales and partnerships for Web3, AI and fintech companies, run as a pipeline you own.

  • Lead Generation & Sourcing
  • Outbound & Multichannel Outreach
  • Sales Operations & CRM
  • Affiliate & Channel Programmes
  • Partnership Strategy
  • Ecosystem & Grants
  • Exchange & Listing Readiness
  • B2B & Enterprise Sales
  • Sales Enablement
  • Investor Communications
BD, Sales & Partnerships

Launch board

Just raised? One team runs every track of the launch.

Four agencies means four plans and nobody who owns the whole. Here engineering, tokenomics, growth and sales plan from one board, with a Hashmark engineer on every track.

Plan your launch with us

  1. Engineering

    Practice →

    1. Phase 1 · Design

      Architecture, security plan and the AI and data layer

    2. Phase 2 · Build & testnet

      Contracts, backend and AI shipped weekly to testnet

    3. Phase 3 · Launch

      Audit readiness, mainnet deploy and production handover

    4. Phase 4 · Scale & support

      Monitoring, upgrades and new features; evals rerun on every model change

  2. Product & Tokenomics

    Practice →

    1. Phase 1 · Design

      Use case, token and chain tested against the business

    2. Phase 2 · Build & testnet

      Economy designed, simulated and stress-tested

    3. Phase 3 · Launch

      TGE sequencing and liquidity planning

    4. Phase 4 · Scale & support

      Live tuning of emissions, incentives and governance

  3. Growth, KOL & Community

    Practice →

    1. Phase 1 · Design

      Positioning and narrative built from the product itself

    2. Phase 2 · Build & testnet

      Community seasons, content and vetted KOLs lined up

    3. Phase 3 · Launch

      Launch-week operations, KOL sequencing and PR

    4. Phase 4 · Scale & support

      Retention, referrals and new markets

  4. BD, Sales & Partnerships

    Practice →

    1. Phase 1 · Design

      ICP, partner map and grant targets

    2. Phase 2 · Build & testnet

      Outbound system and integration partners in the pipeline

    3. Phase 3 · Launch

      Listing readiness and partner launches

    4. Phase 4 · Scale & support

      Enterprise pipeline, account growth and handover to your team

One board, one weekly status across every track

A senior lead per track, one accountable lead overall

Start with one track, add the rest when you need them

Production

8 live · 17 more

Shipped, live, and carrying real money and real users today.

Open the case files

Client names stay private. Every system here is real and in production, and we're glad to walk you through the ones relevant to you on a call.

  1. AI × Web3

    Cross-⁠venue prediction-⁠market intelligence

    AI & data intelligence

    A platform that compares prediction-market venues in real time and surfaces what the gaps mean.

    Node.js · TypeScript · PostgreSQL · TimescaleDB · Event-⁠driven

    Live

    Details on request

  2. Web3

    Exchange-⁠grade trading on a double-⁠entry ledger

    Financial & trading infrastructure

    One system for banking, trading, wallets and payments.

    Matching engine · Double-⁠entry ledger · Fiat on/off-⁠ramp · MPC custody-⁠ready

    Live

    Details on request

  3. Web3

    A DeFi ecosystem where fees fund the rewards

    DeFi & tokenomics

    Several interlocking protocols whose rewards come from real activity, not new token emissions.

    Solidity · Tokenomics · Liquidity protocols · Vaults · Fee routing

    Live

    Details on request

  4. AI × Web3

    Decision infrastructure for commodity trading

    Enterprise AI & trade infrastructure

    Credit and supply-chain decisions backed by AI scoring, live signals and on-chain proof.

    React · TypeScript · Node.js · PostgreSQL · AI/ML · On-⁠chain proofs

    Live

    Details on request

  5. Web3

    A fully on-⁠chain prediction market on a UTxO chain

    Protocol engineering

    Order-book trading rebuilt from first principles for a chain with no shared mutable state.

    UTxO model · Validator scripts · Off-⁠chain tx builders · Event watchers

    Live

    Details on request

  6. AI

    A multimodal quoting agent inside a messaging app

    AI agents & agentic workflows

    Customers send plans, photos and voice notes; the agent returns a priced quote in minutes instead of hours.

    Agent orchestration · Multimodal LLMs · Messaging API · Tracing & evals

    Live

    Details on request

  7. AI

    Retrieval over financial research that returns the exact paragraph

    RAG & enterprise knowledge

    Analysts ask in plain language and get the exact passage, table or figure, with its source.

    Vector search · Metadata filtering · Reranking · Multi-⁠agent orchestration

    Live

    Details on request

  8. AI

    Grounded document review for underwriting and claims

    Vertical AI for finance & risk

    Reviewers get a recommendation where every statement links back to the page it came from.

    Multimodal LLMs · Grounded reasoning · Client-⁠cloud deployment · Evaluation benchmark

    Live

    Details on request

17 more systems[ + open ]
  • NFT staking, rental and lendingProtocols for staking, renting and borrowing against NFTs.NFT-Fi
  • Token launch platformOn-chain launch and liquidity mechanics.Token launch
  • Provably fair gameOutcomes anyone can verify, using Chainlink VRF.Gaming
  • In-game NFT economyNFT economies with tokenised item trading.GameFi
  • Decentralised identity & reputationZK-ready W3C DID identity and reputation.Identity · DAO
  • Multi-chain walletA wallet across chains, with secure key handling.Wallets
  • NFT commerceNFT commerce with revenue sharing.Commerce
  • On-chain ticketingTickets on-chain, with access that resists fraud.Ticketing
  • Tokenised plantationsPlantation assets tokenised, with profit cycles.RWA · ESG
  • Collectible custody & redemptionPhysical collectibles held in custody and redeemable by their owners.RWA
  • Fractional real estateFractional ownership ledgers for real estate.RWA
  • NFTs with physical deliveryNFT ownership tied to delivery of a physical piece.Creative
  • Long-term memory for an AI assistantMemories created over time, retrieved with keyword, meaning and metadata, and evaluated before each release.AI · Agents
  • Multi-tenant document assistantPDFs, tables and images turned into searchable knowledge, with each client's data kept separate.AI · RAG
  • Procurement negotiation agentAn agent that runs repeated, strategic negotiations, on a modernised serverless backend.AI · SaaS
  • Multilingual voice and chat agentsSpeech recognition across dialects and generated replies, scaling with call volume.AI · Voice
  • Deployable AI platformAn AI platform installed in the customer's own cloud, with bounded LLM checks in live workflows.AI · Platform

People

About us →

Senior people in every discipline we sell.

Vidit GalavDirector

Leads Hashmark Labs. A principal architect who has designed and shipped production systems across AI, DeFi, market intelligence, fintech rails, enterprise data and protocols.

The senior bench we staff from

Engineering
Principal engineers · Solutions architects · Senior backend engineers · Platform & DevOps engineers · QA & test automation · Security engineers
AI
AI solutions architects · Senior LLM engineers · Applied ML engineers · Data engineers · MLOps engineers · AI evaluation specialists
Web3 & protocol
Protocol architects · Smart-⁠contract engineers · UTxO chain engineers · ZK engineers · Blockchain infrastructure engineers · Smart-⁠contract security engineers
Design & front-⁠end
Product designers · UX designers · Senior front-⁠end engineers · Design systems leads · Mobile engineers
Product & tokenomics
Engagement leads · Product strategists · Tokenomics designers · Economic modelling analysts · Governance designers
Growth & marketing
Growth leads · Content & narrative strategists · Technical writers · Performance marketers · Analytics specialists · PR leads
KOL & community
Community leads · KOL & creator partnership managers · Community operations · Ambassador programme managers
BD & partnerships
BD leads · Partnerships managers · Ecosystem & grants specialists · Listing readiness specialists
Sales & outreach
Enterprise account leads · Outbound strategists · Lead research specialists · Sales operations & CRM · Sales development leads

Every engagement is led by a senior person who owns the outcome. Around them is a bench of specialists across engineering, AI, Web3, design, growth, partnerships and sales, staffed to the programme.

Process

How we work →

Leadership to leadership. Team to team.

A named lead is accountable for your engagement. Status arrives every week against the plan, with evidence you can check: builds, dashboards or pipeline data. Your leadership reviews progress with ours, your team works with ours day to day, and anything that needs a decision has an agreed path.

  1. Step 1

    Intake & context

    Before any design work, we go through your vision, roadmap, documentation, codebase, constraints and business objectives.

  2. Step 2

    Discovery & architecture

    Research, system design and protocol modelling, plus planning for security and the AI and data layers.

  3. Step 3

    Execution

    Code-first delivery against weekly milestones. You hear from us continuously and can watch progress live.

  4. Step 4

    QA, security & launch

    Testing, audit preparation, deployment and a production handover your team can run from.

  5. Step 5

    Run, support & scale

    After launch we stay on: monitoring, incident response, upgrades, performance and cost tuning, and the next features. For AI systems, evaluations rerun on every model or data change.

Shown for an engineering build. Strategy, growth and BD and sales engagements follow the same shape, including the support after launch.

Refusals

on every engagement

Four lines we don't cross.

  1. Engineering

    We don't hand projects to junior-only teams.

    Senior engineers lead, design and build every engagement, and stay on it through launch and after.

  2. Product & Tokenomics

    We won't recommend a token just for the sake of having one.

    We start from the business. If a token, a chain or a DAO doesn't serve your model, our recommendation will say so.

  3. Growth & Marketing

    We don't use bots, fake followers or bought engagement.

    Every number we report is real. Fake metrics damage your standing with exchanges, investors and users, so we never use them.

  4. BD, Sales & Partnerships

    We don't guarantee listings or make pay-to-play promises.

    Nobody credible can guarantee a listing. We get you ready, open the right conversations and represent you honestly.

Office hours

Bring us the part everyone else hesitated on.

Your first call is with a senior lead who will own the work. Send a few lines about the product and what's hard about it.

Write to usWhatsApp +91 63671 46698
Your point of contact
Vidit Galav, Director
Email
hello@hashmarklabs.com
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Delivery
Our team works across US, European, APAC and Middle East hours.