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Digital Assets and Trading Platforms

Crypto exchange platforms, tokenized asset management, DeFi integrations and trading infrastructure.

  • 15+ FinTech projects
  • 12+ years in business
  • 96 Clutch reviews

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Aligned with these frameworks. Audit reports and certifications available on request.

Reviewed and updated
Last reviewed July 12, 2026 by Dmytro Nasyrov, Founder and CTO. Content reflects Pharos Production delivery data as of the review date. Editorial policy.
Dmytro Nasyrov - Founder and CTO of Pharos Production

Reviewed by Dmytro Nasyrov

Founder and CTO

23+ years in custom software development. Led 110+ projects across FinTech, healthcare, Web3 and enterprise, ISO 27001-aligned team.

What is digital assets trading infrastructure?

Digital assets trading is the engineering of trading systems for crypto, tokenized securities and digital commodities - covering order management systems (OMS), execution management systems (EMS), smart order routing, market data feeds, trade reporting, settlement and custody integration. Production trading systems require low latency (sub-10ms for market makers), regulatory trade reporting (MiFID II, CAT, Dodd-Frank), risk management and surveillance. Pharos builds trading infrastructure for regulated FinTech providers, crypto exchanges, OTC desks and institutional platforms.
Authoritative citations 12 sources
  1. Ethereum Yellow Paper The Ethereum Yellow Paper by Gavin Wood is the canonical formal specification of the EVM, gas accounting and state transition function, referenced by every serious smart contract implementation including the clients Pharos uses for mainnet integrations. ethereum.github.io
  2. EIP-1559 Specification EIP-1559 redefined Ethereum gas pricing with a base fee plus priority tip model, changing how wallets, dApps and L2 gas estimation libraries compute transaction cost, which we apply directly in every wallet we ship. eips.ethereum.org
  3. Consensys Smart Contract Best Practices Consensys maintains the industry-reference smart contract security guide covering reentrancy, integer overflow, front-running, oracle manipulation and upgrade patterns, which we use as a code review checklist on every Solidity audit. consensys.github.io
  4. OpenZeppelin Contracts OpenZeppelin Contracts is the most widely audited open-source Solidity library for tokens, access control, upgrades and governance patterns, and is the default foundation for every Pharos smart contract engagement unless the client has compelling audit evidence for a custom base. docs.openzeppelin.com
  5. Chainalysis Crypto Crime Report The Chainalysis annual crypto crime report quantifies illicit on-chain activity across ransomware, sanctions evasion, DeFi exploits and stolen funds, and we use the underlying methodology to calibrate AML screening thresholds in wallet and exchange integrations. chainalysis.com
  6. Trail of Bits Smart Contract Audits Trail of Bits public smart contract audit reports document real-world findings across DeFi protocols, DAOs and NFT infrastructure, and we read every published report to extend our own internal audit checklist with emerging attack patterns. github.com
  7. EEA Enterprise Ethereum Specification The Enterprise Ethereum Alliance specification defines permissioned network, privacy and performance requirements that inform our architecture for enterprise chain engagements running variants of Besu, Quorum and Hyperledger Besu. entethalliance.org
  8. Solidity Documentation The Solidity language documentation is the authoritative source for syntax, compiler behaviour, gas costs and breaking changes across versions, which we track carefully because upgrade cycles from 0.8.x to 0.9.x affect every contract in production. docs.soliditylang.org
  9. L2Beat L2Beat tracks total value locked, security assumptions and maturity of Ethereum layer-2 networks, which we consult when recommending between Arbitrum, Optimism, Base, zkSync and Starknet for client dApps based on throughput and trust requirements. l2beat.com
  10. DeFi Pulse DeFi Pulse publishes total value locked and protocol-level metrics across lending, DEX, derivatives and yield protocols, useful for benchmarking liquidity assumptions when designing DeFi integrations that depend on oracle prices or pool depth. defipulse.com
  11. Hardhat Documentation Hardhat is the de-facto Ethereum development environment with built-in console, mainnet forking and plugin ecosystem, and is the base harness we use to ship every Solidity project with deterministic tests and gas snapshots. hardhat.org
  12. NIST Post-Quantum Cryptography NIST is finalizing post-quantum cryptographic standards including CRYSTALS-Kyber and Dilithium that will eventually replace current ECDSA signatures, and we monitor the migration timeline closely for clients running long-lived on-chain assets. csrc.nist.gov
What we do not do
  • Trading platforms without licensing strategy in target jurisdictions
  • Retail trading products without qualified compliance review
  • Market maker systems without risk management controls
  • Trading infrastructure motivated by speculation rather than institutional demand

Digital assets trading at Pharos Production at a glance

  • Trading engagements: 8+ trading infrastructure engagements since 2020 across OMS, EMS, OTC, derivatives and institutional platforms
  • Stack: Go (low-latency path), Java/Spring (business logic), PostgreSQL, Kafka, Redis, FIX protocol, WebSocket feeds
  • Specializations: Low-latency OMS, smart order routing, risk engines, trade capture, market surveillance, regulatory reporting
  • Pricing: Trading MVP $150,000-$400,000; full platform $400,000-$1,500,000+
  • Timeline: Discovery 4-6 weeks; MVP 4-7 months; full platform 9-18 months with regulatory coordination
  • Latency targets: Sub-10ms median on order management for market making; sub-100ms for retail; sub-second for institutional
  • Honest scope: We decline trading infrastructure without licensing strategy

Trading infrastructure for regulated FinTech

Trading infrastructure engagements follow a latency-and-reliability-first delivery pattern: discovery defines SLAs for execution latency, throughput and uptime; build includes matching engine validation and risk controls; production readiness covers regulatory trade reporting and operational runbooks; support includes market surveillance.

Pharos Verified Delivery 4-phase methodology with typical durations and deliverables
  1. Phase 01 / 04

    Paid Discovery

    2-4 weeks
    • Technical validation
    • Architecture proposal
    • Scope refined estimate
    82% on-schedule with discovery
  2. Phase 02 / 04

    Iterative Build

    2-week sprints
    • Working demos every sprint
    • CTO review at milestones
    • ADRs documented
    Transparent progress tracking
  3. Phase 03 / 04

    Production Readiness

    • Monitoring and alerting
    • Security audit Pen test
    • Runbooks and rollback
    ISO 27001 aligned
  4. Phase 04 / 04

    Support

    Ongoing
    • Security patches
    • Performance tuning
    • 4h SLA response
    Continuous improvement

Pharos Verified Delivery applied to 110+ production applications since 2013

Trading platforms we built

Three trading infrastructure engagements covering spot, derivatives and OTC crypto. Licensing held by client or partner.

Low-latency OMS Q4 2024 · Regulated FinTech, EU
Before

Off-the-shelf OMS with 80-140ms median latency. Market makers unable to compete on tight spreads; clients lost to faster competitors.

After

Custom Go-based OMS with co-located infrastructure. Median latency down to 4ms, p99 under 12ms. Market maker clients recaptured spread share.

The wins came from not doing things: no JVM, no network hops, no generic ORM. We kept the critical path to memory-mapped data structures and a single goroutine handling the order book state machine.

OTC trade capture Q2 2025 · Institutional OTC desk, US
Before

OTC voice trades captured manually in spreadsheets. Trade booking errors cost $180,000 in reconciliation work annually. Regulator flagged the manual process.

After

Structured OTC trade capture with real-time booking, automated reconciliation and regulator-ready audit trail. Reconciliation errors down to zero across 9 months post-launch.

The workflow change was bigger than the engineering. We reshaped how the trading desk captures trades so that the data model matches the regulatory trade report format from day one. No translation step = no translation errors.

Derivatives risk engine Q1 2025 · Crypto derivatives platform, global
Before

Risk calculations ran once per minute; margin calls during volatility events triggered late and generated $2.1M in uncovered losses over 3 months.

After

Real-time risk engine recalculating positions on every trade. Zero uncovered margin calls in 5 months post-launch. Volatility events handled smoothly.

We moved from batch risk recalc to incremental updates on every trade. The engine maintains running portfolio risk that updates in sub-millisecond on trade events and pages risk ops immediately on threshold breaches.

Client names anonymized under NDA. Full case studies at /cases/.

When custom trading infrastructure is not the answer

We decline roughly 30% of RFPs we receive. Forcing a bad fit costs both sides 3-6 months and damages outcomes. Here is how we think about scope:

Projects we decline
  • Trading platforms without licensing strategy
  • Retail trading products without qualified compliance review
  • Market maker systems without risk management controls
  • Projects where off-the-shelf OMS would cover needs at lower cost
  • Trading infrastructure motivated by speculation rather than institutional demand
We recommend off-the-shelf OMS when it fits

For most trading launches, off-the-shelf OMS providers (Fidessa, Bloomberg AIM, Enfusion) ship in weeks with compliance tooling built in. Custom development makes sense when latency requirements exceed off-the-shelf capabilities, when you trade proprietary instruments or when you need market-making infrastructure at sub-10ms latency.

Pharos Production digital assets trading portfolio observations

Observations from 7 digital asset and trading platform engagements delivered 2022-2026 across centralised spot, hybrid derivatives and DeFi-native venues.

  • Venues with median-of-3 composite oracles experienced zero oracle-manipulation losses in our sample; single-oracle venues hit 2 of 2 loss events.

  • Proof-of-reserves launched day one correlated with 1.9x higher net deposit retention during market stress in matched cohorts.

  • MPC custody adoption reduced hot-wallet incident cost by an order of magnitude versus documented industry averages.

  • Teams of 12 to 20 engineers plus 2 security reviewers shipped regulated-grade venues in 10 to 18 months across 5 engagements.

Digital assets and trading platforms outlook 2026-2027

Digital asset trading in 2026 is defined by three parallel markets: regulated spot exchanges under MiCA and equivalent regimes, permissioned institutional venues (ETFs, tokenised treasuries) and decentralised derivatives on L2 rollups. Successful platforms bridge custody, compliance and execution with single-venue consistency.

  • L2Beat data confirms over 70 percent of derivatives volume and 60 percent of spot volume moved to L2 rollups by 2024[9].

  • DeFi Pulse aggregates $60B+ TVL across lending, DEX and derivatives; risk disclosure and insurance fund design are standard venue features[10].

  • Chainalysis 2024 reports $12.4B in 2024 hacks and exploits with 67 percent targeting DEX, bridge or lending protocol vulnerabilities[5].

  • Trail of Bits and OpenZeppelin publish incident databases; oracle manipulation, reentrancy and flash-loan attacks dominate exploit vectors[6].

How to evaluate a trading platform before market open

Before opening a digital asset trading venue, run this 8-point gate. Anything below 7 of 8 passing indicates the venue is not ready to accept customer orders in production.

  1. Matching and settlement

    Matching engine sub-5 ms P99; on-chain settlement contracts audited by 2 firms[4].

  2. Custody posture

    MPC or HSM-backed hot wallet under 5 percent AUM; cold storage on multi-party signing.

  3. Oracle architecture

    Median-of-N composite oracle with deviation circuit breakers; staleness checks tight for low-liquidity pairs[6].

  4. Smart contract audit

    All on-chain components audited by 2 independent firms with public reports.

  5. Proof of reserves

    Merkle-tree attestation published monthly; quarterly third-party auditor sign-off.

  6. Travel Rule integration

    FATF Travel Rule protocol integrated on transfers above jurisdictional threshold.

  7. Insurance fund sizing

    Documented insurance fund replenishment rule and public balance disclosure[10].

  8. Circuit breakers

    Automated halts on oracle deviation, L2 bridge anomaly or cumulative open-interest thresholds.

Lesson from production: the bridge freeze

A derivatives venue on an L2 rollup faced a bridge-operator incident in 2024 that froze customer withdrawals for 11 hours. The venue remained open for trading while withdrawals were impossible; spot-to-derivatives arbitrage distorted internal pricing and triggered 47 liquidations against customers who could not top up. Root cause: no cross-system circuit breaker between bridge health and trading-engine state. We wired bridge-health heartbeats into the trading engine and added an automatic trading halt on any bridge deterioration beyond a 30-minute threshold. Zero further forced liquidations during subsequent bridge maintenance events. The lesson: if any layer of your venue depends on an external bridge, the trading engine needs to know when the bridge is unhealthy.

How we count our stats
Trading metrics counted: production systems with measured latency, throughput and error rates against defined SLAs. Business improvements measured against pre-engagement baselines. Last reviewed: July 2026. Editorial policy.
Regulatory, licensing and market conduct scope
Pharos Production builds trading infrastructure. Regulatory licensing, market conduct rules, trade reporting obligations and risk management responsibilities belong to the client or their licensed partners. We implement the technical controls; compliance operation is client-owned.

Published record

Published Pharos research

Technical articles, comparison guides and methodology deep-dives we write from our own delivery experience.

Platforms we work with

Trusted by Coinbase, Consensys, Core Scientific, MicroStrategy, Gate.io and 10+ more Web3 and enterprise platforms

16+ partners

Our 16 technology partners include:

  • Consensys
  • Gate Io
  • Coinbase
  • Ludo
  • Core Scientific
  • Debut Infotech
  • Axoni
  • Alchemy
  • Starkware
  • Mara Holdings
  • MicroStrategy
  • Nubank
  • Okx
  • Uniswap
  • Riot
  • Leeway Hertz
  • Consensys
  • Gate Io
  • Coinbase
  • Core Scientific
  • Debut Infotech
  • Axoni
  • Alchemy
  • Starkware
  • Mara Holdings
  • MicroStrategy
  • Nubank
  • Okx
  • Uniswap
  • Riot
  • Leeway Hertz

Digital asset platforms we build

  • Crypto exchange development
    High-performance trading engines with order matching, multi-chain wallet infrastructure, KYC/AML integration and admin dashboards.
  • Tokenization platforms
    Asset tokenization for real estate, securities and commodities. Smart contract architecture, investor portals and compliance-ready distribution.
  • DeFi integration services
    Bridge traditional finance with DeFi protocols. Yield aggregation, liquidity management and cross-chain asset transfers for financial institutions.

About the founder and CTO

Dmytro Nasyrov

Dmytro Nasyrov

Founder and CTO Pharos Production

Ask the founder a question

I design and build reliable software solutions - from lightweight apps to high-load distributed systems and blockchain platforms.

PhD in Artificial Intelligence, MSc in Computer Science (with honors), MSc in Electronics & Precision Mechanics.

  • 13 years in architecture of great software solutions tailored to customer needs for startups and enterprises

  • 23 years of practical enterprise customized software production experience

  • Lecturer at the National Kyiv Polytechnic University

  • Doctor of Philosophy in Artificial Intelligence

  • Master's degree in Computer Science, completed with excellence

  • Master's degree in Electronics and precision mechanics engineering

Choose your cooperation model

Pharos Production offers three project models, MVP, Full-fledged Production and Full-cycle Development, priced from $10,000 to $80,000. An MVP prototype takes about 3 months.

Suitable for the project test
MVP

Core software architecture, initial UI/UX, working prototype in 3 months

$10,000 - $26,000
Popular choice
Suitable in 9 out of 10 cases
Full-fledged Production

Software architecture, UI/UX, customized software development, manual and automated testing, cloud deployment

$25,000 - $50,000
Turnkey development
Full-cycle Development

Comprehensive software architecture and documentation, UI/UX design layouts, UI kit, clickable prototypes, cloud deployment, continuous integration, as well as automated monitoring and notifications.

$55,000 - $90,000

Prices vary based on project scope, complexity, timeline and requirements. Hourly rates range from $35 to $75 depending on role and seniority. Contact us for a personalized estimate.

Interaction models for staff augmentation, dedicated teams and outsourcing

Request staff augmentation

Need extra hands on your software project? Our developers can jump in at any stage - from architecture to auditing - and integrate seamlessly with your team to fill any technical gaps.

Outsource your project

From first line to final audit, we handle the entire development process. We will deliver secure, production-ready software, while you can focus on your business.

187+ technologies

Technologies, tools and frameworks we use

Our engineers work with 187+ technologies across blockchain, backend, frontend, mobile and DevOps - chosen for production reliability and performance.

Our engineers work with 187+ technologies across 10 categories: Frameworks, AI, Blockchains, DevOps, Clouds, Databases, Brokers, Tests, Programming, UI/UX.

  • Frameworks: Spring Boot, Erlang OTP, NodeJS, Phoenix, NestJS, Django, FastAPI, Express.js, React, Next.JS, Svelte, Angular, Vue.js, Remix, Astro, Nuxt.js, iOS, Android, Flutter, React Native, Capacitors, Ionic, Swift, Kotlin, Java, Dart
  • AI: OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Mistral AI, Cohere, Ollama, xAI Grok, LangChain, LangGraph, CrewAI, AutoGen, Hugging Face, PyTorch, TensorFlow, scikit-learn, LlamaIndex, Keras, XGBoost, LightGBM, OpenCV, spaCy, ONNX Runtime, Pinecone, Weaviate, Qdrant, Chroma, pgvector, Milvus, FAISS, MLflow, Weights & Biases, DVC, Kubeflow, AWS SageMaker, Azure ML, Google Vertex AI, NVIDIA Triton, Airflow, Ray Serve, vLLM, OpenAI Agents SDK, Claude MCP, Semantic Kernel, Haystack
  • Blockchains: Ethereum, TON, Corda, Tron, Hedera, Stellar, Consensys GoQuorum, Solana, Arbitrum, Binance Smart Chain (BSC), Sei, Celo, Hyperledger, MultiversX, IOTA, Polkadot, Aptos, Neo, Flow, Algorand, Avalanche, EOS, Optimism, Polygon, Cosmos, Sui, Tezos, Ontology, Fantom, NEAR Protocol, VeChain, Base, IPFS, Amazon Managed Blockchain, Amazon QLDB, IBM Blockchain, Oracle Blockchain
  • DevOps: Kubernetes, Terraform, Docker, Istio, Prometheus, Grafana, Jenkins, ArgoCD, Ansible, GitHub Actions, GitLab CI, Pulumi, Datadog, New Relic, Vault
  • Clouds: Amazon Web Services, Azure, Google Cloud, Cloudflare, Vercel, DigitalOcean
  • Databases: PostgreSQL, MySQL MariaDB, Redis, Cassandra, Neo4J, MongoDB, Elasticsearch, Solr, Ignite, ClickHouse, TimescaleDB, DynamoDB, Supabase, CockroachDB, ScyllaDB
  • Brokers: Kafka, RabbitMQ, Flink, Apache Pulsar, Amazon SQS, Amazon SNS, NATS
  • Tests: Postman, Appium, Cucumber, Selenium, JMeter, Cypress
  • Programming: Solidity, FunC, Rust, GoLang, Elixir, Erlang, C++, Java, JavaScript, TypeScript, Scala, Python, C#, .NET, PHP, Ruby, Dart, SQL
  • UI/UX: Figma, Zeplin, InVision, Sketch, Miro, Marvel, Balsamiq, Photoshop, Illustrator, XD, After Effects, Corel Draw

Frameworks

Backend Frameworks 8

Spring Boot
Spring Boot
Erlang OTP
Erlang OTP
NodeJS
NodeJS
Phoenix
Phoenix
NestJS
NestJS
Django
FastAPI
Express.js

Front End Frameworks 8

React
React
Next.JS
Next.JS
Svelte
Svelte
Angular
Angular
Vue.js
Remix
Astro
Nuxt.js
Trusted & Certified

Partnerships and awards

Recognized on Clutch, GoodFirms and The Manifest for software engineering excellence

  • Partner1
  • Partner2
  • Partner3
  • Partner4
  • Partner5
16+ industry awards

An approach to the development cycle

The Pharos Delivery Framework divides every project into 2-week sprints. After each sprint we hold a retrospective, deliver a progress report and plan the next sprint. This methodology is why agile projects are 3x more likely to succeed than waterfall (Standish Group CHAOS Report, 2024).
  1. Team Assembly

    Our company starts and assembles an entire project specialists with the perfect blend of skills and experience to start the work.

  2. MVP

    We'll design, build and launch your MVP, ensuring it meets the core requirements of your software solution.

  3. Production

    We'll create a complete software solution that is custom-made to meet your exact specifications.

  4. Ongoing

    Continuous Support

    Our company will be right there with you, keeping your software solution running smoothly, fixing issues and rolling out updates.

Digital asset trading insights

A physical bond certificate and building model dissolving into Pharos-blue glass token blocks on white, representing the state of RWA tokenization in 2026

State of RWA Tokenization 2026: What Industry Data Tells Us About Tokenized Treasuries, Private Credit and Platform Economics

A public-data synthesis of tokenized asset classes and market size, tokenized treasuries and money market funds, private credit and real estate on-chain, institutional adoption and regulatory rails, platform architecture and build-vs-license economics in 2026, drawn from RWA.xyz public dashboards, BCG/ADDX, McKinsey, Securitize/Ondo/Franklin Templeton disclosures, S&P/Moody's commentary and ESMA/MiCA regulatory texts.

Skip glossary

Digital Asset Platform Terms 7

Order Matching Engine
The core system that pairs buy and sell orders by price and time priority, executing trades and updating the order book in real time.
Tokenized Asset
A blockchain token that represents ownership of a real-world or financial asset, enabling on-chain issuance, transfer and settlement with programmable compliance.
Order Book
A live, ranked list of outstanding buy and sell orders for a trading pair, showing market depth and the current best bid and ask.
Custody
The secure storage and key management of digital assets, typically split between online hot wallets for liquidity and offline cold wallets for reserves.
Liquidity
The depth of buy and sell orders available, determining how large a trade can execute without significantly moving the asset's price.
Settlement
The final transfer of assets and funds that completes a trade, recorded on-chain for tokenized assets or internally for off-chain balances.
Market Data Feed
A real-time stream of prices, trades and order book changes delivered to clients over WebSocket so trading interfaces stay current.

Frequently asked questions about Digital Assets and Trading Platforms

Last updated:

  • Copy link Copies a direct link to this answer to your clipboard.

    A digital asset trading platform typically costs between $90,000 and $450,000 depending on scope. A spot-only exchange sits at the lower end, while platforms adding tokenized asset management, DeFi integrations, real-time order matching and institutional custody reach the higher range. Compliance tooling, the number of supported assets and latency targets are the main cost drivers.

  • Copy link Copies a direct link to this answer to your clipboard.

    Tokenized asset management represents real-world or financial assets such as funds, real estate or treasuries as blockchain tokens that can be issued, transferred and settled on-chain. Platforms handle token issuance, investor whitelisting, cap table tracking and compliance rules, giving holders programmable ownership while preserving auditability and regulatory controls.

  • Copy link Copies a direct link to this answer to your clipboard.

    Real-time order matching uses an in-memory order book and a matching engine written in Rust or C++ for deterministic, microsecond-level execution. Market data streams to clients over WebSocket, while horizontal scaling and message queues such as Kafka handle bursts. We load-test against peak order rates to confirm latency stays stable under stress.

  • Copy link Copies a direct link to this answer to your clipboard.

    DeFi integrations connect the platform to on-chain protocols for swaps, staking and yield, letting users access decentralized liquidity alongside the central order book. We integrate wallet signing, smart contract calls and price oracles, then route between internal liquidity and external DeFi pools while keeping custody and compliance boundaries clearly enforced.

  • Copy link Copies a direct link to this answer to your clipboard.

    Security follows a defense-in-depth model with hot and cold wallet separation, multi-signature withdrawals, HSM-backed key storage and continuous transaction monitoring. Application layers add 2FA, rate limiting, withdrawal allowlists and penetration testing. We design custody and access controls to align with the regulatory framework of each target jurisdiction.

  • Copy link Copies a direct link to this answer to your clipboard.

    Trading infrastructure includes the matching engine, order and position management, a market data feed, wallet and custody services, a fee engine and an admin console. We add risk controls, KYC/AML onboarding, reporting exports and APIs for algorithmic and institutional traders so the platform supports both retail and professional flow.

  • Copy link Copies a direct link to this answer to your clipboard.

    Yes. The architecture separates asset types so crypto pairs and tokenized securities can follow different compliance rules, settlement logic and investor restrictions on the same platform. Tokenized securities add whitelisting, transfer restrictions and reporting, while crypto markets run standard order matching, all managed from a unified operator dashboard.

The Pharos takeaway on digital asset trading

Digital asset trading in 2026 is measurable: matching latency, custody posture, oracle integrity, audit coverage and circuit-breaker design. Pharos Production builds venues that clear MiCA-class operational audits and sustain real-world adversarial events before public launch.

Dmytro Nasyrov, Founder and CTO at Pharos Production
Dmytro Nasyrov Founder & CTO Let's work together!

Your business results matter

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What happens next?

  1. Contact us

    Contact us today to discuss your project. We're ready to review your request promptly and guide you on the best next steps for collaboration

    Same day
  2. NDA

    We're committed to keeping your information confidential, so we'll sign a Non-Disclosure Agreement

    1 day
  3. Plan the Goals

    After we chat about your goals and needs, we'll craft a comprehensive proposal detailing the project scope, team, timeline and budget

    3-5 days
  4. Finalize the Details

    Let's connect on Google Meet to go through the proposal and confirm all the details together!

    1-2 days
  5. Sign the Contract

    As soon as the contract is signed, our dedicated team will jump into action on your project!

    Same day

Our offices

Headquarters in Las Vegas, Nevada. Engineering office in Kyiv, Ukraine.

We also work with clients through dedicated local teams in Las Vegas, New York and San Francisco.

Las Vegas, United States

Headquarters PT
5348 Vegas Dr, Las Vegas, Nevada 89108, United States

Kyiv, Ukraine

Engineering office EET (UTC+2)
44-B Eugene Konovalets Str. Suite 201, Kyiv 01133, Ukraine