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Digital Transformation Services

Pharos Production delivers Digital Transformation services that modernize your technology stack, automate manual processes and create new digital revenue streams.

  • 90+ engineers
  • 28 industries
  • 13+ years in business

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Achieve them with minimized risk through our bespoke innovation capabilities

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

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 does digital transformation actually mean?

Digital transformation is the multi-year program work of replacing manual processes, paper workflows, siloed systems and analog customer experiences with integrated digital platforms. In practice it is 20% engineering and 80% change management - the hard part is not building the software, it is getting the organization to use it. Pharos transformation programs combine architecture advisory, engineering execution and change management partnership with the client leadership team. We focus on transformations where we can measure the outcome in dollars, cycle time or customer retention - not transformations defined as "be more digital."
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
  • Transformation work without executive sponsorship on the client side
  • Engagements without measurable success criteria
  • "Digital transformation" as a rebrand for "we want better software"
  • Programs where change management is not part of the scope

Digital transformation at Pharos Production at a glance

  • Programs: 5+ multi-year transformation programs since 2019 across insurance, manufacturing, government and mid-market enterprise
  • Approach: Engineering + architecture from Pharos; change management owned by client leadership with Pharos advisory support
  • Stack: Varies by client; typical: Node.js, Python, Java, PostgreSQL, Kafka, AWS, integration layers, data platforms, customer portals
  • Pricing: Assessment from $30,000; transformation programs $200,000-$2,000,000+ over 12-36 months; retainers for steady state
  • Timeline: Assessment 4-8 weeks; pilot 3-6 months; rollout 6-18 months; steady state after
  • Success rate: We walk away from engagements without executive sponsorship because 70% of transformation programs fail without it
  • Change management: Client-owned with Pharos advisory; we do not pretend to be organizational change experts
  • Honest scope: We recommend smaller focused engagements when transformation is not actually needed

How transformation programs actually work

Transformation programs follow a multi-phase approach: assessment and target operating model (4-8 weeks), pilot program on one business unit or workflow (3-6 months), rollout and change management (6-18 months) and steady-state support. Pharos provides the engineering and architecture; client leadership owns change management with our advisory support.

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

Transformation programs we have run

Three multi-year transformation engagements with the specific calls that distinguished them from PowerPoint exercises.

Insurance back office 2024-2025 · Mid-market insurer, US
Before

Claims, underwriting and policy administration ran on separate green-screen systems. Customer service had 5 different tools open. Average policy change took 3-5 days.

After

Unified customer portal + integrated back office. Policy changes now processed in under 2 hours. Customer service team consolidated to one tool. NPS up from 32 to 67.

The engineering was the easy part - unified portal, API integration layer, ops dashboard. The hard part was retraining 180 claims processors and changing their incentive structure from "tickets handled" to "customer issues resolved." That took 14 months and 3 ugly meetings.

Manufacturing data platform 2023-2025 · Industrial manufacturer, EU
Before

23 factory sites each running their own ERP and MES. Monthly reporting took 3 weeks of manual data consolidation. Production decisions were made on 3-week-old data.

After

Real-time data platform ingesting from all 23 sites. Daily reporting available by 9am. Production decisions based on yesterday's data, not last month's. 8% efficiency gain across all sites measured independently.

We built the data platform before touching the sites. The sites migrated one by one over 18 months, each with a 6-week onboarding. Site managers co-owned the rollout schedule - we worked around harvest seasons, union negotiations and tool calibration windows.

Government citizen services 2024 · State agency, US
Before

Citizen benefits applications required paper forms, in-person visits and 6-8 week processing times. Staff burnout high; citizen satisfaction low.

After

Digital-first benefits application with eligibility screening, document upload and status tracking. Processing time down to 6-9 days, in-person visits down 73%, citizen satisfaction up 31 points.

Government transformation looks different. We spent the first 6 weeks just mapping the 4 federal compliance frameworks the system had to satisfy, then designed the UX around those constraints. Starting from the compliance side and working toward UX is counterintuitive but it avoids rework.

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

When digital transformation is not the answer

Transformation programs fail ~70% of the time. Most of those failures are avoidable if you decline the wrong engagements up front.

Projects we decline
  • Transformation without executive sponsorship from the client CEO or equivalent
  • Engagements where success criteria cannot be expressed in dollars, cycle time or retention
  • "Digital transformation" framing for what is actually a software rebuild
  • Programs where change management is "someone else's problem"
  • Transformations driven by consultants rather than by business need
We recommend smaller, focused work

Big transformation programs fail disproportionately. Smaller focused engineering engagements succeed disproportionately. When in doubt, we recommend starting with one measurable problem (reduce claim cycle time; eliminate quarterly data consolidation; launch customer self-service) and solving it well before committing to a multi-year program.

Pharos Production digital transformation portfolio observations

Observations from 18 transformation programs delivered 2019-2026 across FinTech, banking, insurance and enterprise SaaS.

  • Programs with an empowered executive sponsor hit planned outcomes in 83 percent of cases; programs without one hit 22 percent.

  • DORA metrics improved measurably in 14 of 18 programs within 9 months when platform investment preceded product team enablement.

  • Product operating model adoption correlated with 2.6x faster time-to-market on new customer features in our sample.

  • Teams of 3 to 5 platform engineers sustained 30 to 80 product developers at elite DORA metrics when paired with clear golden paths.

Digital transformation outlook 2026-2027

Digital transformation in 2026 is measured less in technology adoption and more in organisational capability: trunk-based development, product operating model, platform thinking and data-informed decisions. The divide between "digital native" performance and laggard incumbents is widening, and the cost of catching up accelerates every year.

  • DORA 2024 shows elite digital performers deliver 4x more value than low performers on the same budget[1].

  • Accelerate (Forsgren, Humble, Kim) documents the 24 capabilities that separate elite from low performers, applied across 2,000+ organisations[11].

  • Gartner 2024 finds 70 percent of digital transformation programs miss targets; most failures trace to operating-model change, not technology selection[6].

  • ThoughtWorks Radar 2024 elevates product operating models, team topologies and internal developer platforms as foundational for transformation success[3].

How to evaluate a digital transformation plan in 90 days

Before approving a multi-quarter transformation budget, run this 8-point readiness audit. Anything below 6 passing indicates the plan is a technology shopping list, not a transformation.

  1. DORA baseline captured

    Deployment frequency, lead time, MTTR and change failure rate measured on current state[1].

  2. Product operating model

    Empowered cross-functional teams with clear mission, KPIs and autonomy on stack choices.

  3. Platform strategy

    Internal developer platform roadmap with named product owner and golden-path services.

  4. Funding model

    Persistent product funding, not project-based gating; budgets align to value streams[11].

  5. Data foundation

    Governed analytics layer with documented data products and SLAs per consumer.

  6. Security and compliance

    ISO 27001 plus NIST SSDF mapped across current and target state[7].

  7. Change management

    Named executive sponsor, change champions per team and documented OKRs cascaded.

  8. Measurable outcomes

    Business outcomes (time-to-market, customer NPS, unit economics) tracked monthly.

Lesson from production: the platform without customers

A banking customer launched an internal developer platform in 2023. After 14 months the platform team had 9 engineers and 11 product teams were still deploying through the legacy Jenkins. Root cause: the platform was built as infrastructure, not as a product. No user research, no golden paths for the top 3 service types, no SLA commitments. We paused feature work for 8 weeks, ran discovery with the 11 target teams, shipped 3 opinionated golden paths (Node API, Java Spring, React front-end) with documented SLAs. Within 6 months, 9 of 11 teams migrated voluntarily. Platform DORA metrics pulled the rest of the bank from "Low" to "High" in 4 quarters. The lesson: platforms need customers and roadmaps, not just Kubernetes clusters.

What transformation success looks like
Transformation metrics counted: programs with defined success criteria and measurable business outcomes against pre-engagement baselines. We do not count engagements that ran over a year without measurable progress as "active programs." Last reviewed: July 2026. Editorial policy.
Transformation is hard; we are honest about that
Pharos Production provides digital transformation advisory and engineering. Transformation outcomes depend more on client change management, executive sponsorship and organizational capacity than on engineering quality. We are honest about this during scoping.

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.

Module
Focused module launch

Single high-value module integrated into existing systems with a measurable business outcome.

$35,000 - $75,000
Popular choice
Platform
Core platform build

Multi-department platform with integrations, role-based access and training for internal teams.

$70,000 - $130,000
Rollout
Enterprise rollout

Multi-location, multi-team rollout with migration, governance, security and long-term evolution.

$160,000 - $440,000

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.

Transformation insights

Skip glossary

Digital Transformation Glossary 7

Digital Transformation
The strategic overhaul of how an organization operates and delivers value by replacing manual and legacy processes with cloud-native, automated and data-driven systems.
Legacy Modernization
The process of upgrading or rebuilding outdated applications and infrastructure into maintainable, scalable systems while preserving the business logic they encode.
Cloud-Native
An architectural approach using containers, microservices and managed cloud services so applications scale elastically and deploy independently with high resilience.
Process Automation
Replacing repetitive manual workflows with software, using rules, integrations or RPA so tasks run faster, more consistently and with fewer errors.
Technology Audit
A structured assessment of an organization's systems, code, infrastructure and processes to identify risks, technical debt and modernization opportunities.
Technology Roadmap
A sequenced plan that maps which systems and capabilities will be modernized, in what order and with what dependencies, to guide multi-year transformation.
AI/ML Integration
Embedding machine learning models into existing products and workflows to add prediction, classification or automation on top of an organization's own data.

Frequently asked questions about Digital Transformation Services

Last updated:

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

    McKinsey research consistently shows ~70% failure rate on digital transformation. The top two failure modes are lack of executive sponsorship (the program stalls when leadership priorities shift) and insufficient change management (the new system ships but staff work around it). Pharos refuses transformation engagements without explicit executive sponsorship and without change management in scope.

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

    We advise on change management; we do not own it. Change management has to come from client leadership because it requires authority we do not have - hiring, firing, incentive structure, reporting lines.

    We partner with client HR and leadership teams, and we sometimes bring in specialist change management consultants for specific program phases, but we never accept a transformation engagement where change management is "someone else's problem."

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    Assessment + target operating model: $30,000-$100,000. Pilot program: $150,000-$500,000.

    Full rollout: $500,000-$2,000,000+ over 12-36 months depending on scale, geography and integration complexity. Long steady-state engagements run on monthly retainers. We prefer smaller, focused engagements when they can solve the actual problem.

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

    Phase 1: Assessment and target operating model (4-8 weeks). Phase 2: Pilot program on one business unit or one workflow (3-6 months) with measurable outcomes.

    Phase 3: Rollout across the organization (6-18 months). Phase 4: Steady state support. Each phase has go/no-go criteria - we are willing to walk away at phase boundaries if results are not on track.

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

    Then you do not need a transformation program, you need software engineering. We will tell you that directly during scoping.

    Transformation framing is appropriate when the change spans people, process and technology together; when the scope is just "better software," a focused engineering engagement delivers better results at lower risk.

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

    We decline when there is no executive sponsorship, when success criteria cannot be expressed in measurable business terms, when the framing is "digital transformation" for what is actually a software rebuild, when change management is not in scope and when the transformation is driven by consultants rather than business need. Transformation engagements without these foundations are the ones that become 70% failure-rate case studies.

The Pharos takeaway on digital transformation

Digital transformation in 2026 is capability-change, not technology-change. Pharos Production delivers transformations anchored on DORA metrics, product operating models and internal developer platforms, so your organisation keeps moving faster after the engagement ends.

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

Your business results matter

Achieve them with minimized risk through our bespoke innovation capabilities

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What happens next?

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  3. Plan the Goals

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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