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IoT Development Services

Pharos Production builds Internet of Things (IoT) solutions that connect physical devices to intelligent software platforms.

  • 90+ engineers
  • 28 industries
  • 13+ years in business
96 reviews 138 reviews 11 reviews 54 reviews 19 reviews 5.0 318+ verified reviews

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Reviewed and updated
Last reviewed July 6, 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 IoT development?

IoT development is the engineering of connected device systems covering firmware, edge gateways, cloud backends, provisioning, secure updates and device lifecycle management. It is hardware-aware software work with long-tail maintenance.
Authoritative citations 12 sources
  1. DORA State of DevOps Report The Google DORA State of DevOps annual report defines the four key software delivery metrics (deployment frequency, lead time for changes, mean time to restore, change failure rate) that we instrument on every production engagement to benchmark delivery performance. dora.dev
  2. Stack Overflow Developer Survey The Stack Overflow Developer Survey documents language, framework, database and tooling adoption across tens of thousands of engineers annually, and we use the trend lines to validate stack choices against hiring pool depth for each client. survey.stackoverflow.co
  3. ThoughtWorks Technology Radar The ThoughtWorks Technology Radar tracks tools, platforms, techniques and languages across adopt, trial, assess and hold rings twice yearly, and is a cross-check we use to validate architectural recommendations against industry consensus. thoughtworks.com
  4. Google SRE Book The Google SRE book codifies service-level objectives, error budgets, incident response and postmortem culture that our production readiness gates adopt directly when handing over a platform to a client operations team. sre.google
  5. Martin Fowler bliki Martin Fowler's bliki is the most cited reference for enterprise architecture patterns including microservices, strangler fig, CQRS, event sourcing and refactoring, which shapes how we describe and implement architecture decisions in ADRs on every client engagement. martinfowler.com
  6. Gartner Custom Application Services Magic Quadrant Gartner publishes multiple Magic Quadrant reports covering custom application services, digital engineering and outsourced development that identify market leaders, completeness of vision and niche specialists across the global software services industry. gartner.com
  7. ISO 27001 Information Security Standard ISO 27001:2022 defines the internationally recognized information security management system requirements that Pharos Production operates under, shaping the control framework we inherit and extend for client software engagements. iso.org
  8. OWASP Top 10 The OWASP Top 10 ranks the highest-impact web application security risks and is the single most cited threat reference for application security programs, which every Pharos build is reviewed against before production release. owasp.org
  9. NIST Secure Software Development Framework NIST SSDF SP 800-218 defines secure development practices including threat modelling, SBOM generation, vulnerability disclosure and supply chain controls, which we treat as the baseline Software Development Lifecycle checklist on every client engagement. csrc.nist.gov
  10. CNCF Cloud Native Landscape The CNCF Cloud Native Landscape maps the full cloud-native ecosystem across orchestration, runtime, observability, security and database categories, useful reference material we consult when validating platform choices for client Kubernetes and service mesh engagements. landscape.cncf.io
  11. Accelerate by Forsgren, Humble, Kim Accelerate distills the multi-year DORA research program into the book-length case for DevOps practices correlated with high-performance software delivery, and is the single most cited academic reference for the delivery metrics we ship inside every client engagement. itrevolution.com
  12. IEEE SWEBOK The IEEE Software Engineering Body of Knowledge codifies the professional knowledge areas covering requirements, design, construction, testing, maintenance, configuration management and engineering economics that underpin every professional software services engagement. computer.org
What we do not do
  • Hardware design, PCB layout or certification (we partner with hardware houses)
  • Industrial safety certifications (IEC 61508, IEC 62304) end-to-end
  • Cellular carrier or network operator work
  • Projects without a defined device lifecycle and update strategy
  • One-off prototypes with no plan for maintenance

IoT development at Pharos at a glance

  • Engagements: 18+ IoT engagements since 2019 across industrial, agriculture, smart-home and asset tracking
  • Firmware: C, Rust, Zephyr, FreeRTOS, MicroPython where it fits; no religious stack preference
  • Cloud platforms: AWS IoT Core, GCP IoT, Azure IoT Hub, plus self-hosted MQTT brokers when scale justifies it
  • Provisioning: BLE-assisted Wi-Fi, QR-code pairing, manufacturing claim codes; chosen per product
  • Pricing: Firmware work from $48,000; cloud backend from $65,000; full-stack IoT programs $180,000+
  • Security: Signed updates, secure boot, provisioning certificates and audit logs are table stakes
  • Partnership: We work with hardware design houses for PCB, certification and mechanical design

Cloud-backed IoT vs edge-heavy IoT

Factor Cloud-backed IoT Edge-heavy IoT
Latency Seconds to minutes Milliseconds
Offline resilience Limited without queueing Strong; device works standalone
Cloud cost Higher; everything travels Lower; edge filters first
Device cost Lower; thin client Higher; more compute on device
When it fits Consumer devices, low-latency-tolerant workloads Industrial, intermittent connectivity, safety-critical

How we build IoT systems that keep working after launch

Pharos Verified Delivery applied to IoT means no device ships without a secure boot path, a signed firmware update mechanism, a provisioning flow, a telemetry pipeline and a decommissioning procedure. Five artefacts, every time.

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

IoT systems that made it past year one

IoT systems usually fail in year 2-3, not at launch. Each engagement below has been running in production for at least one year with measurable uptime.

Connected sensor fleet (Q2 2024) Q2 2024 · Agriculture, EU
Before

Client running 1,800 sensor nodes with manual firmware updates, 12% offline rate.

After

Rebuilt the update pipeline with signed over-the-air delivery and staged rollout. Offline rate dropped to 2.8% within one quarter.

The sensors were fine. The update pipeline was the bottleneck. Firmware updates done well are 60-70% of IoT operational success.

Industrial telemetry gateway (Q4 2023) Q4 2023 · Manufacturing, US
Before

Client using commercial MQTT broker with growing cost as the fleet scaled past 8K nodes.

After

Migrated to a self-hosted broker cluster with cell partitioning and improved throughput. Operating cost dropped 68% per active node.

Self-hosting only made sense because the operational maturity was there. We would not recommend self-hosting to every client.

Device provisioning redesign (Q1 2025) Q1 2025 · Smart home, global
Before

Provisioning flow had a 27% drop-off rate during customer onboarding.

After

Redesigned the provisioning flow with BLE-assisted Wi-Fi handoff and better fallback paths. Drop-off rate dropped to 6%.

Most IoT pain is not in the device. It is in the first 90 seconds of setup in the customer's hand.

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

When IoT is the wrong frame

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
  • The value comes from a simple webhook or API, not a connected device
  • The business case does not survive a 5-year total-cost-of-ownership calculation
  • There is no plan for decommissioning or refurbishment
  • The certification costs exceed the expected revenue for the first 3 years
  • The firmware update mechanism is an afterthought
What we recommend instead

For many "IoT" use cases, a customer smartphone app plus an API is simpler, cheaper and more reliable than a connected device. We will say so openly when that is the honest answer.

Pharos IoT portfolio

Pharos IoT delivery portfolio observations, 2020-2026

Observations from 11 IoT engagements 2020-2026 across industrial, smart building, agriculture and connected fleet domains.

  • 65% Missing firmware rollback

    65% of fleets we inherited had no firmware rollback pathway. Adding it pre-rollout prevented outages in every case we tracked.

  • 11 weeks Edge model retraining cadence

    Edge model retraining cadence averaged 11 weeks across computer-vision IoT projects. Teams that automated retraining at under 4 weeks saw 2.4x fewer field escalations.[6]

  • 60-75% Time-series storage cost savings

    Time-series storage cost was the #1 budget surprise on 7 of 11 projects. Retention tiering (hot 30d, warm 180d, cold S3 Glacier) cut cost 60-75%.

  • 9 of 11 Weak device identity audits

    Security audits found weak device identity (shared secrets, plaintext provisioning) on 9 of 11 fleets. Per-device certificate issuance at manufacturing became a non-negotiable first deliverable.[7]

Industrial IoT outlook 2026-2027

Industrial IoT outlook 2026-2027 is shaped by four structural shifts that reshape reference architecture choices in every engagement.

  • Edge-first inference

    Edge-first inference is now the default for factory-floor vision and predictive maintenance workloads because bandwidth and latency budgets collapse when 5000+ devices ship frames to cloud.[3]

  • Fleet security

    Fleet security moved from perimeter firewalls to per-device identity and SBOM enforcement after the 2024-2025 OT breach wave.[8]

  • Open time-series stacks

    Open time-series stacks (TimescaleDB, InfluxDB 3, Prometheus) replaced bespoke Hadoop pipelines for most mid-market deployments.[10]

  • ISO 27001 plus IEC 62443 dual certification

    ISO 27001 plus IEC 62443 dual certification is emerging as the buyer baseline for enterprise IoT vendors rather than a nice-to-have.[7]

IoT 90-day evaluation template

Use this 8-point health check to evaluate an IoT engagement at the 90-day mark before you commit to multi-year fleet rollout.

  1. 1

    Device onboarding

    Device onboarding time-to-first-telemetry: under 4 minutes target.

  2. 2

    OTA success rate

    Fleet-wide OTA success rate across last 3 releases: above 98.5%.

  3. 3

    Ingest latency

    Edge-to-cloud p95 ingest latency under production load.

  4. 4

    Per-device unit cost

    Per-device unit cost (hardware plus connectivity plus cloud) vs. original plan.

  5. 5

    Firmware rollback rate

    Ratio of rolled-back firmware releases: under 3% rolling 90 days.

  6. 6

    Security posture

    SBOM coverage, CVE triage SLA, secrets rotation cadence.[9]

  7. 7

    Observability coverage

    Device health, data quality, ML drift on analytics layer.

  8. 8

    Data platform latency

    Data platform query latency for business dashboards: p95 under 2 seconds.

Production post-mortem

Lesson from a 2024 European manufacturing rollout

The engagement covered 2100 gateways across 38 sites. Original architecture shipped raw 100Hz sensor frames to cloud Kafka. Month 2 bandwidth bill alone exceeded the annual hosting budget. We refactored to edge aggregation (Rust daemon on gateways) emitting 1Hz rollups plus on-demand high-frequency pulls for anomalies.[4] The rule we now enforce at engagement kickoff: if a sensor emits above 5Hz, it never talks directly to cloud.

Cloud spend dropped 81% month over month, end-to-end p95 latency for alerts improved from 14s to 2.6s, and fleet OTA stability recovered because the gateways stopped saturating their uplinks.

Field discipline
Every IoT engagement ships with a device update pipeline, a field log review cadence and a decommissioning procedure, all documented before the first production device leaves the factory. Last reviewed: July 2026. Editorial policy.
Important
Connected devices carry real-world risk. We design systems with graceful degradation, signed updates and audit logs, but we are honest that any connected device can fail or become a target. Nothing ships without a written threat model.

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

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 - $25,000
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

$22,000 - $45,000
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.

Popular choice

Hire dedicated experts

Whether you're building from scratch or scaling fast, our engineers are ready to step in. You stay in control, and we handle the code.

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

Mobile Apps Frameworks 10

iOS
iOS
Android
Android
Flutter
Flutter
React Native
React Native
Capacitors
Capacitors
Ionic
Ionic
Swift
Swift
Kotlin
Kotlin
Java
Java
Dart
Trusted & Certified

Partnerships and awards

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

  • Partner1
  • Partner2
  • Partner3
  • Partner4
  • Partner5
13+ 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.

IoT engineering insights

View all articles
Skip glossary

IoT Development Glossary 7

MQTT
A lightweight publish-subscribe messaging protocol designed for constrained devices and unreliable networks, using a central broker to route messages between publishers and subscribers over TCP.
CoAP
The Constrained Application Protocol - a RESTful protocol for microcontrollers and sensor nodes that operates over UDP, optimized for low power and low bandwidth environments.
Edge Computing
Processing data on or near the device where it is generated rather than sending raw data to the cloud, reducing latency, bandwidth cost and cloud storage volume for high-frequency sensor streams.
Digital Twin
A real-time virtual model of a physical device or system that mirrors its current state using live telemetry, enabling simulation, anomaly detection and predictive maintenance without touching hardware.
OTA Update
Over-the-air firmware update - a mechanism that delivers signed binary patches to deployed devices via a cloud backend, enabling bug fixes and feature additions without physical access.
BLE (Bluetooth Low Energy)
A short-range wireless protocol optimized for battery-powered devices that transmit data infrequently, widely used for IoT sensors, wearables and device-to-gateway local communication.
AWS Greengrass
An AWS edge runtime that runs Lambda functions and ML inference locally on IoT gateway hardware, enabling processing and local decision-making even when the device loses internet connectivity.

Frequently asked questions about IoT Development Services

Last updated:

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

    IoT project cost depends on device count, firmware complexity, connectivity protocol and cloud backend scope. A focused pilot connecting a single device class to a dashboard typically starts in the low tens of thousands of dollars, while a multi-region fleet platform with edge processing and analytics runs higher.

    Pharos Production scopes a fixed-price discovery first so the firmware, protocol and cloud architecture are costed before a single line of production code is written.

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

    A connected proof of concept usually takes 6 to 10 weeks, covering firmware, a single protocol and a basic cloud dashboard. Production fleet platforms with edge computing, over-the-air updates and analytics typically run 4 to 8 months. Timelines depend on hardware availability, certification needs and whether device firmware is built from scratch or adapted from an existing reference design.

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

    Pharos Production builds on MQTT, CoAP and Bluetooth Low Energy (BLE) for device messaging, plus cellular, LoRaWAN, Wi-Fi and Zigbee depending on range, power and bandwidth. Protocol choice is driven by battery budget, payload size and deployment density. We design the messaging layer for at-least-once delivery, reconnection handling and constrained-device footprints.

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

    We build IoT backends on AWS IoT Core and Azure IoT Hub, with device registries, rules engines, time-series storage and digital twins. These managed services handle device authentication, message routing and scale, while we add custom business logic, dashboards and integrations. We also deploy edge computing with AWS IoT Greengrass or Azure IoT Edge when latency or offline operation matters.

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

    IoT security starts with per-device certificates, mutual TLS and signed over-the-air firmware updates to block tampered code. We encrypt data in transit and at rest, isolate device identities, rotate credentials and monitor fleet telemetry for anomalies.

    Our approach aligns with established frameworks so connected medical, industrial and consumer devices meet the security expectations of regulated buyers.

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

    Pharos Production delivers IoT systems for smart manufacturing (predictive maintenance and quality control), healthcare (remote patient monitoring and medical device integration), agriculture (sensor networks and irrigation), logistics and smart buildings. Each vertical drives different protocol, certification and edge-processing choices, so we tailor the architecture to the operating environment rather than reusing a generic template.

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

    Pharos Production owns the full software stack: device firmware, edge logic, cloud backend, APIs and dashboards. We write embedded firmware in C and C++ for microcontrollers and integrate with your chosen hardware or reference boards.

    We do not manufacture custom silicon, but we collaborate with your hardware partners on board bring-up, driver integration and the firmware that runs on the final device.

The Pharos takeaway on industrial IoT

An IoT engagement is not a firmware project or a cloud project. It is a reliability engineering project with embedded, networking, cloud, data and ML subsystems that all need DORA-style delivery metrics, SBOM-level supply-chain controls and a time-series backbone designed for retention not just ingest.[1] Pharos structures IoT delivery around those four axes so the fleet does not become unmaintainable at 10k+ devices.

Book a 30-minute IoT architecture call
Dmytro Nasyrov, Founder and CTO at Pharos Production
Dmytro Nasyrov Founder & CTO Let's work together!

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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

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