The systems other teams call too hard.
Senior engineers across AI, blockchain and full-stack systems. We join at whatever stage you're at: a blank page, a build in progress, a live system that has to scale, or a codebase someone else started. Our clients are in the USA, Europe, APAC and the Middle East.
Position
We don't rent out developers. You get architecture, protocol expertise and senior engineers who do the work themselves.
We join at any stage
A new architecture, a build that has stalled, a live system hitting its limits, or code another team wrote. We start with an honest read of where it stands.
We own delivery end to end
Architecture, engineering, testing, deployment and scaling are our responsibility, not something we hand back to you halfway.
The people you meet build it
The architects on your first call are the engineers who write the system. Nothing gets passed down to a junior team.
Capabilities
Sixteen capability areas, one senior bench.
Capability
What that covers
Where we've shipped it
AI Agents & Automation
Single and multi-agent systems, tool use, MCP servers, human approval steps and workflow automation inside real business systems.
Quoting agent →Negotiation agentVoice agents
RAG, Search & Knowledge
Hybrid retrieval with reranking, permission-aware knowledge bases, document intelligence and answers that cite their source.
AI Platform, Evaluation & MLOps
Evaluation harnesses, tracing, guardrails, fine-tuning and self-hosted open-weight models, deployed in your cloud or ours.
Assistant memoryDeployable AI platform
AI × Web3 Systems
AI risk engines with on-chain proof, trading agents inside hard limits, and agents that hold scoped wallets.
Smart Contracts & Protocol Engineering
EVM, Solana, Move and UTxO contracts, on-chain order books and protocol mechanics, written to survive an audit.
DeFi & Financial Protocols
AMMs, perps, lending, staking, yield engines and tokenomics design.
Fee-funded DeFi →NFT-Fi protocols
DEX & Trading Infrastructure
Matching engines, hybrid liquidity routing and professional trading terminals.
Market Intelligence & Data
Prediction-market intelligence, cross-venue analytics and terabyte-scale pipelines.
FinTech, Payments & Stablecoins
Payment rails, multi-asset wallets, ledgers, settlement and stablecoin rails.
RWA & Tokenization
Platforms for real estate, commodities, collectibles and ESG assets.
Tokenised plantationsCollectible custodyFractional real estate
Blockchain Infrastructure & Scaling
Appchains, rollups, validators and nodes, indexers, and cross-chain messaging.
Across our production builds
Wallets, Identity & Cryptography
Multi-chain and embedded wallets, account abstraction, MPC key management, decentralised identity, ZK proofs and TEEs.
Multi-chain walletDecentralised identity
Security & Audit Readiness
Threat modelling, invariant and fuzz testing, internal review and audit preparation for code that holds value.
Across our production builds
Product Engineering: Web & Mobile
Front-ends, dashboards, trading terminals and mobile apps, built with our product designers.
Across our production builds
Cloud, DevOps & SRE
Infrastructure as code, CI/CD, observability, incident response and cost control for systems that can't go down.
Across our production builds
Gaming & Digital Assets
Provably fair games, in-game economies, NFT-Fi, ticketing and commerce.
Provably fair gameIn-game economyOn-chain ticketing
Also on request
- Technical due diligence
- CTO-level advisory
- Codebase takeover
- Legacy modernisation
Technical depth
Nine layers deep, from the interface to the key ceremony.
We staff every layer of a modern AI or Web3 system with senior people, so nothing important gets outsourced to a guess.
Product surfaces
What your users touch.
- TypeScript
- React
- Next.js
- React Native
- Tailwind
- wagmi & viem
- WalletConnect
- Embedded wallets
AI models & agents
Reasoning, tools and orchestration.
- OpenAI
- Anthropic Claude
- Google Gemini
- Llama & Mistral (open-weight)
- LangGraph
- LlamaIndex
- Model Context Protocol
- Speech-to-text & TTS
Retrieval & data
What the models and markets read from.
- PostgreSQL
- pgvector
- Qdrant
- Elasticsearch
- Hybrid search & rerankers
- TimescaleDB
- ClickHouse
- Kafka
- Redis
- Airflow
Evaluation & observability
How we know it works, and keeps working.
- Eval harnesses
- Langfuse
- OpenTelemetry
- Prometheus
- Grafana
- Sentry
- Red-team suites
Services & backends
The engines underneath.
- Node.js
- Python (FastAPI)
- Go
- Rust
- gRPC
- GraphQL
- WebSockets
- Event-driven services
- Low-latency matching engines
Smart contracts
Code that holds value.
- Solidity
- Rust (Anchor)
- Move
- Aiken
- Plutus
- CosmWasm
- OpenZeppelin
- Foundry
- Hardhat
Chains & scaling
Where it settles.
- Ethereum
- Arbitrum
- Optimism & OP Stack
- Base
- Polygon
- Solana
- Cardano
- Cosmos SDK
- Substrate & Polkadot
- Internet Computer
- Chainlink
- The Graph
Cryptography & security
Proof, privacy and keys.
- zkSNARKs
- zkVMs
- Trusted execution environments
- MPC & threshold signing
- Account abstraction (ERC-4337)
- Slither
- Fuzz & invariant testing
- MEV-aware design
Cloud & operations
Keeping it up, and at a known cost.
- AWS
- GCP
- Azure
- Docker
- Kubernetes
- Terraform
- CI/CD
- KMS & HSM key management
79 technologies across 9 layers. The right ones for your system get chosen in discovery, not from habit.
AI systems
Demos are easy. Production AI is an engineering discipline.
Agents, retrieval and decision systems fail quietly when nobody measures them. This is the order we work in, and why.
- 01
Start from the decision and its cost
Who acts on the output, what a wrong answer costs, and the error rate the business can live with. That failure budget shapes every choice after it.
- 02
Build the evaluation set before the system
Golden cases from real data, edge cases and adversarial ones: prompt injection, missing context, sources that contradict each other. Scored automatically where possible, by domain experts where not.
- 03
Ship the simplest design that passes
One well-grounded call beats a multi-agent graph if it clears the bar. Retrieval, tools and agents get added only when the evals show they're worth the cost and latency.
- 04
Ground and constrain every answer
Hybrid retrieval with reranking and citations, structured outputs checked against a schema, and permission checks so nobody sees data they shouldn't.
- 05
Trace every step
Each prompt, retrieval, tool call and output is logged with its version, so a failure can be replayed and fixed at the step where it happened.
- 06
Put guardrails and people at the edges
Input and output filters, scoped tool permissions and spend limits. Low-confidence or high-stakes cases go to a person, with the evidence attached.
- 07
Release in stages
Shadow mode against the current process, then a canary, then full rollout, with rollback ready. In your cloud or ours, on open-weight models when data can't leave.
- 08
Keep measuring after launch
Quality, drift, latency and cost per task are watched in production. Evals rerun on every prompt, model or data change, and real failures become new test cases.
Process
How a project runs with us.
- Step 1
Intake & context
Before any design work, we go through your vision, roadmap, documentation, codebase, constraints and business objectives.
- Step 2
Discovery & architecture
Research, system design and protocol modelling, plus planning for security and the AI and data layers.
- Step 3
Execution
Code-first delivery against weekly milestones. You hear from us continuously and can watch progress live.
- Step 4
QA, security & launch
Testing, audit preparation, deployment and a production handover your team can run from.
- 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.
- Weekly deliverables
- Verifiable weekly status
- A named engagement lead
How we report
Numbers we keep apart when we report on a build.
A score without its test set, or a demo without a deployment, tells you very little. We say exactly what was measured and where.
A working demois nota system in production
We call it done when it's deployed, monitored and handed over, with support after launch.
An AI accuracy scoreis nota result
Every AI feature ships with a defined evaluation set and a before-and-after score you can rerun yourself.
Testnet activityis notmainnet usage
We always say which environment a number came from, and we don't mix the two.
Who we work with
Pre-seed or public, greenfield or live in production: we work with teams at every stage.
- Funded startups & founders
- Protocols & DAOs
- FinTech & financial platforms
- AI & data companies
- Enterprises & trade platforms
Principles
Senior people own the quality of every build.
Refusal
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.
Security & correctness
This matters most in cryptography and in code that holds value, where a mistake can't be undone.
Maintainable architectures
Clear boundaries and as little complexity as we can manage, so your team can own the system after we leave.
Predictable delivery
You get a week-by-week plan and can check progress against it whenever you like.
Senior ownership
Every engagement is led by senior people who own the outcome, whatever stage we join at, through launch and support.
Team
Senior engineers across AI, Web3 and full-stack.
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.
Work
These systems are live in production.
Open the case filesClient 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.
Domain
System
What it does
Stack
Status
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
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
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
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
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
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
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
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
Engagement
We pick the engagement model to fit the problem.
Dedicated engineering
A senior team embedded in your roadmap for the long run.
Project-based delivery
A defined scope, from architecture to production launch.
Architecture & advisory
System design, technical due diligence and CTO-level guidance.
Protocol engineering
Smart contracts, on-chain mechanics and getting you ready for audit.
Support & scale retainer
Monitoring, incident response, upgrades and new features after launch, on agreed response times.
Commercial terms
We set commercial terms after technical discovery, based on complexity, delivery requirements and the engagement model.
Weekly status and a named engagement lead / USA · Europe · APAC · Middle East / Teams working across time zones
Other practices
Engineering sits underneath every other practice.
Product & Tokenomics
Product strategy, tokenomics and go-to-market planning for Web3, AI and fintech ventures, designed by engineers who build protocols.
Growth & Marketing
Full-funnel marketing, community and brand for Web3, AI and fintech products, run by people who understand how the product works.
BD, Sales & Partnerships
Lead generation, outbound, enterprise sales and partnerships for Web3, AI and fintech companies, run as a pipeline you own.
Office hours
Bring us the part everyone else hesitated on.
If it's technically complex and you want a team that thinks at the protocol level, we'd like to talk through the architecture with you.
- Your point of contact
- Vidit Galav, Director
- Follow
- Delivery
- Our team works across US, European, APAC and Middle East hours.