Established 2015 · Helsinki

    Built by industry leaders to solve the data foundation problem

    A partnership of leaders drawn from the industries we serve. We work where enterprise value is actually created: a governed data layer that can be trusted, decisions instrumented on top of it, and outcomes that land in the performance measures leadership already reports.

    Company facts
    People
    200+People
    Enterprise customers
    200+Enterprise customers
    AI-handled interactions a year
    600M+AI-handled interactions a year
    Years
    11Years
    Helsinki 2015Melbourne 2017Riyadh 2019Pakistan · UAE · Spain
    Origin

    Why the firm was established

    Bilytica was established in Helsinki in 2015 by a partnership of leaders, each of whom had run data and technology at senior level in a different industry before founding the firm.

    Across banking, healthcare, telecommunications, industry and government, they observed the same pattern: organisations were investing heavily in analytics and, later, in artificial intelligence, while the underlying data estate remained fragmented, ungoverned and unable to support the decisions being asked of it. In most cases the constraint was not the technology but the foundation beneath it.

    The firm was built to address that constraint directly: establish a governed, trusted data foundation first, then deliver the analytics, AI systems and agents that depend on it. Eleven years later, that remains the operating thesis, the quality of an organisation's data sets the ceiling on the value of its AI.

    Where value is created

    The layers, and the order they have to be taken in

    Value is not created by a model. It is created when a governed data layer makes evidence available, when decisions move from opinion to instrumentation, and when both are visible in the performance measures the organisation is already accountable for. We work across every layer, in that order, because value realised at one layer without the layer beneath it does not hold.

    The data layer

    Making the estate trustworthy enough to carry a decision

    Ownership, classification, lineage and permitted use are established for the domains in scope, and the platform beneath them is engineered for reliability rather than demonstration. This is where most enterprise AI programmes are constrained, and it is where our work begins.

    Measured by trusted domains in production, not by platforms procured.

    The decision layer

    Moving decisions from judgement alone to evidence and instrumentation

    Analytics, models and agents are placed inside the decisions that actually run the business, pricing, credit, capacity, care pathways, field operations, with human oversight, escalation and retained evidence designed in rather than added afterwards.

    Measured by decisions executed on the system, and by how quickly they can be reproduced under review.

    Business performance

    Landing the outcome in the measures leadership already reports

    Every engagement is tied at the outset to a performance measure the client already reports, cost to serve, cycle time, risk exposure, revenue retention, service levels, with a named owner on the client side and a measurement method agreed before delivery starts.

    Measured on the client's own reporting line, after handover.

    Founding partners

    The disciplines the firm is built on

    Each partner led data and technology work at senior level in their industry before the firm was established. Each continues to own that discipline within Bilytica and remains personally accountable in client delivery reviews.

    Usman Ahmad

    Enterprise business intelligence and data warehousing

    Group strategy and the client delivery model, including the standards applied to every engagement the firm accepts.

    Dr Sari Al Qahtani

    Public sector data governance and national programmes

    Governance, data sovereignty and regulatory alignment, including NDMO and PDPL assurance and audit readiness across delivered systems.

    Nauman Ahmad

    Banking and financial services platforms

    Data engineering and platform architecture, covering lakehouse design, pipeline reliability and the data contracts the wider estate depends on.

    Muhammad Awais

    Telecom and large-scale operational systems

    Engineering at scale, with responsibility for throughput, reliability and the operational discipline that keeps production systems dependable.

    Muhammad Moin

    Healthcare information systems and clinical data

    Applied AI in regulated environments, where model accuracy, traceability and clinical or operational accountability are non-negotiable.

    Ogul Yucel

    Industrial manufacturing and supply chain technology

    Industry 4.0 and operational technology, spanning sensor data, time-series platforms, digital twins and continuous production environments.

    Dr. Paul Barach

    Patient safety, clinical quality and healthcare systems research

    Kevin Lee

    Enterprise technology strategy and international go-to-market

    Ian Clark

    Large-programme delivery and transformation governance

    Dr. Uzair ul Ghani

    Applied research, analytics methodology and data science practice

    Gary Cokins

    Enterprise performance management, cost intelligence and decision analytics

    Advisory board

    Independent oversight of our method

    An independent advisory group drawn from clinical research, enterprise strategy, large-programme delivery and performance management reviews our delivery method and technical standards.

    Where we have been

    From Helsinki to Riyadh

    The firm expanded in line with client demand and regulatory complexity. Each market added requirements that strengthened the delivery method.

    1. 2015Helsinki, Finland

      A partnership formed around one thesis

      Established by a partnership of leaders from banking, healthcare, telecommunications, industry, public-sector data and enterprise business intelligence. Early engagements focused on data foundation programmes for European enterprises whose analytics investments were not producing trusted results.

    2. 2017Melbourne, Australia

      Delivery moves south

      The centre of operations moved to Melbourne, adding regulated Australian clients and establishing a delivery method that could be applied consistently across time zones and teams.

    3. 2019Riyadh, Saudi Arabia

      The Kingdom becomes the centre of gravity

      Entry into Saudi Arabia coincided with the national data and AI agenda. Arabic-first engineering, in-Kingdom deployment and NDMO/PDPL governance were established as core capabilities rather than a localisation layer.

    4. 2020+Pakistan · UAE · Spain

      Engineering depth and regional reach

      Engineering centres and delivery offices were added across Pakistan, the UAE and Spain, providing a single delivery method across four time zones and the capacity to resource national-scale programmes with in-house teams.

    How we work

    What a client can hold us to

    1. 01

      The foundation before the feature

      No model, agent or dashboard is delivered on a data layer we have not assessed. Where the foundation is the constraint, we advise the client of that before any further scope is proposed.

    2. 02

      Built to run every day

      We judge our work by what is still running a year after handover: something useful in your hands within weeks, and a named owner on your side who can carry it forward.

    3. 03

      Right-sized models, not the biggest one

      Each workload is routed to the smallest model that meets the required quality threshold, which is what keeps unit economics viable at production volume.

    4. 04

      Sovereignty as architecture

      Data residency, access control and cross-boundary movement are architectural decisions taken at design stage rather than compliance documentation produced at the end of a programme.

    5. 05

      Arabic as a first language

      Arabic capability is engineered rather than translated, covering dialect handling, entity naming, right-to-left interfaces and Arabic-native evaluation sets from the outset.

    6. 06

      What we learn, we publish

      Our frameworks and research are published without gating, and a defined share of revenue funds free education programmes in the markets where we operate.

    200+
    People

    Engineers, data specialists and consultants across the delivery centres.

    200+
    Enterprise customers

    Organisations running Bilytica systems in production environments.

    600M+
    AI-handled interactions a year

    Counted across deployed conversational, voice and agent systems.

    11
    Years

    Continuous operation since 2015, under the same founding partners.

    6
    Countries

    Saudi Arabia, the UAE, Australia, Spain, Pakistan and Finland.

    4×
    ISO certifications

    ISO 9001, ISO 20000, ISO 27001 and ISO 27701.

    Figures are internal company records as of 2026, counted on production systems rather than signed contracts.

    The company today

    Scale and capability today

    Gulf

    Riyadh · Dubai

    The centre of gravity for national and enterprise programmes: in-Kingdom deployment, Arabic-first engineering, NDMO and PDPL evidence.

    APAC

    Melbourne

    Delivery for regulated Australian organisations, supported by the cross-time-zone programme discipline established in 2017.

    Europe

    Madrid · Helsinki roots

    European clients and the GDPR-aligned practices the firm was founded on, with data minimisation and purpose limitation applied by default.

    Engineering

    Lahore

    Engineering capacity across platform, machine learning and product teams, enabling national-scale programmes to be resourced with in-house specialists.

    Where we work

    One delivery method, applied wherever we operate

    Delivery is structured around each client's regulatory and data-residency requirements.

    Knowledge Green, our CSR

    Reinvesting knowledge into the markets we serve

    A Knowledge Green company

    A substantial share of every dollar Bilytica earns goes back into free AI and data education for the societies we work in.

    See the commitment in full
    Work with us

    Start with the foundation

    Established in 2015 and still led by its founding partners. The most direct starting point is an assessment of your current data estate.

    Join the team
    FAQ

    About Bilytica: FAQ

    Founding, leadership, locations and certifications.

    Who founded Bilytica?

    Bilytica was founded in 2015 in Helsinki, Finland by a partnership of industry leaders, Usman Ahmad, Dr Sari Al Qahtani, Nauman Ahmad, Muhammad Awais, Muhammad Moin and Ogul Yucel, each of whom came from a different industry: banking, public-sector data, telecom, healthcare, industrial manufacturing and enterprise business intelligence.

    When and where was Bilytica founded?

    Bilytica was founded in 2015 in Helsinki, Finland. Operations moved to Melbourne, Australia in 2017, entered Saudi Arabia in 2019, and expanded to Pakistan, the UAE and Spain in the years after.

    Where does Bilytica operate today?

    Bilytica operates across Saudi Arabia, the UAE, Australia, Spain, Pakistan and Finland, with Riyadh as the delivery centre of gravity for Gulf programmes.

    Does Bilytica have an advisory board?

    Yes. Bilytica's advisors are Dr. Paul Barach (healthcare systems and patient safety), Kevin Lee (enterprise technology strategy), Ian Clark (large-programme delivery), Dr. Uzair ul Ghani (applied research and analytics methodology) and Gary Cokins (enterprise performance management and decision analytics).

    What does Bilytica actually do?

    Bilytica builds the data foundation enterprises need before AI can work, governed data platforms, and then the analytics, Arabic-language AI systems and agents that run on top of it, in production rather than as pilots.

    What certifications does Bilytica hold?

    Bilytica holds ISO 9001, ISO 20000, ISO 27001 and ISO 27701 certifications and is a member of the SDAIA AI Society in Saudi Arabia.

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