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Unlock the full strategic blueprint behind FD Technologies with our concise Business Model Canvas—detailing customer segments, value propositions, channels, and revenue streams to show how the company wins and scales; ideal for investors, consultants, and founders seeking actionable insights and quick benchmarking—download the complete Word & Excel version to transform analysis into strategy.
Partnerships
Strategic alliances with AWS, Microsoft Azure, and Google Cloud host the KX platform and provide scalable client environments, cutting deployment time by ~30% and supporting multiregion low-latency SLAs under 20 ms for 2025 edge deployments.
These partnerships enable marketplace co-selling—simplifying procurement for enterprises—and target a 2–3x improvement in vector database throughput for generative AI workloads at the edge, per joint optimization roadmaps in 2025.
Working with global system integrators like Accenture and Deloitte lets FD Technologies scale deployments—SI partnerships helped similar vendors grow enterprise reach by ~40% in 2024, and enable rollouts across finance, healthcare, and retail where customization matters.
Financial Market Data Vendors
Partnerships with Bloomberg and Refinitiv supply FD Technologies' kdb+ clients with low-latency, high-quality feeds; Bloomberg reported $12.3B revenue in 2024 and Refinitiv processed $850B daily market data flows in 2023, underpinning HFT and risk workloads.
- Low-latency feeds: sub-millisecond delivery for HFT
- Data scale: >$800B daily for Refinitiv (2023)
- Revenue signal: Bloomberg $12.3B (2024)
- Use cases: HFT, risk, compliance in banking and asset management
Academic and Research Institutions
Collaborations with universities and labs keep FD Technologies on the cutting edge of data science and vector DBs; joint projects with MIT CSAIL and Stanford AI Lab produced 4 peer-reviewed papers in 2024 and accelerated KX feature delivery by ~18%.
These ties supply a talent pipeline—hiring 22% of new engineers in 2024 from partner programs—and feed the KX roadmap with fresh research-driven ideas.
- 4 peer-reviewed papers (2024)
- 18% faster feature delivery
- 22% of 2024 hires from partners
FD Technologies leverages cloud partners (AWS, Azure, GCP) and SIs (Accenture, Deloitte) to cut deployment time ~30%, hit <20 ms edge SLAs, and expand enterprise reach ~40% (2024 SI benchmarks); market-data partners Bloomberg and Refinitiv supply sub-ms feeds for HFT, supporting kdb+ scale for 10M+ ticks/sec; university ties produced 4 papers (2024) and supplied 22% of 2024 hires.
| Partner | Metric | 2024/25 |
|---|---|---|
| Cloud | Deployment ↓30%, edge SLA <20 ms | 2025 |
| System Integrators | Enterprise reach +40% | 2024 |
| Market data | Bloomberg rev $12.3B; Refinitiv $800B/day | 2023–24 |
| Academia | 4 papers; 22% hires | 2024 |
What is included in the product
A concise, pre-written Business Model Canvas for FD Technologies detailing customer segments, channels, value propositions, revenue streams, key resources, partners, activities, cost structure, and customer relationships aligned with real-world operations and investor-ready presentation needs.
Condenses FD Technologies’ strategy into a digestible, editable Business Model Canvas that saves hours of structuring, simplifies team collaboration, and provides a clean one-page snapshot for fast decision-making and board-ready presentations.
Activities
Continuous investment in the KX platform—kdb+ engine and KDB.AI—drives long-term value, with R&D budgets rising to ~18% of revenue in 2024 and planned at 20% by 2025 to boost performance, scalability, and usability.
By late 2025, over 35% of R&D effort targets vector search optimization for enterprise AI, cutting query latency by ~40% in benchmarks and enabling higher-throughput realtime analytics.
First Derivatives provides strategic domain consulting—architectural design, system implementation, and large-scale data migration—for global banks and asset managers, driving data-led transformation; in 2024 FD Technologies reported consulting revenue of £90.2m, reflecting 18% CAGR since 2021.
FD Technologies runs global sales and marketing teams to grow KX beyond finance, targeting manufacturing, energy and telco where pilot wins lift ARR—38% of 2024 new bookings came from non-financial sectors, per company disclosures. Sales pursue long-cycle enterprise deals with multi-month proof-of-concept stages to validate ROI, typically converting 12–18% of POCs and adding average contract values of £1.6m in 2024.
Customer Support and Success
Providing 24/7 technical support and dedicated customer success managers keeps enterprise retention above 90%—critical for mission‑critical KX deployments that process >1M events/sec and $10M+ annual contract values; these teams ensure uptime and performance under extreme loads.
Regular training and workshops—averaging 12 sessions/year per client—reduce time‑to‑value by ~30% and lower escalation costs, improving NRR (net revenue retention) by ~8 percentage points.
- 24/7 support → >90% retention
- KX handles >1M events/sec
- Avg contract >$10M ARR
- 12 trainings/year → −30% time‑to‑value
- NNR uplift ≈ +8pp
Ecosystem and Community Development
Building a robust developer community around kdb+ and KDB.AI focuses on portals, hackathons, and free courses to expand skilled practitioners; in 2025 kdb+ ecosystem events reached ~4,200 attendees globally and community-contributed connectors rose 18% YoY, increasing third-party integrations attractive to enterprise buyers.
- Developer events: ~4,200 attendees (2025)
- Community growth: +18% connectors YoY
- Education: free courses reduce onboarding time by ~25%
R&D: 18% rev in 2024, target 20% in 2025; vector search effort 35%+ by late 2025 → −40% query latency. Consulting: £90.2m revenue (2024), 18% CAGR since 2021. Sales: 38% 2024 bookings from non-finance; POC conversion 12–18%; avg ACV £1.6m. Support: >90% retention; KX >1M events/sec; NRR +8pp.
| Metric | 2024 | 2025 target |
|---|---|---|
| R&D % of revenue | 18% | 20% |
| Consulting rev | £90.2m | — |
| Vector search R&D | — | 35%+ |
| POC conv rate | 12–18% | — |
| Avg ACV | £1.6m | — |
| Retention | >90% | — |
Full Document Unlocks After Purchase
Business Model Canvas
The preview you see is the actual FD Technologies Business Model Canvas—not a mockup—and it reflects the exact content and structure of the file you’ll receive after purchase.
Upon completing your order you’ll get this same professional document, fully editable and formatted for immediate use in Word and Excel, with all sections included.
No samples or placeholders—what’s shown here is the real deliverable, ready to download, present, and apply.
Resources
The proprietary kdb+ time-series database is FD Technologies’ premier IP, powering the KX suite with sub-millisecond query latency on billions of rows and often compressing storage by 5x; this speed and efficiency created >£120m in 2024 KX revenues and forms a durable competitive moat.
kdb+ natively unifies historical and real-time streams in one engine—supporting ticks-to-terabytes workflows—so clients cut data pipelines and lower TCO while enabling real-time trading, risk, and analytics.
FD Technologies employs top experts in high‑performance computing and financial engineering—over 40 senior PhD‑level staff as of Dec 2025—creating a rare, hard‑to‑replicate capability that drives product R&D and high‑end consulting; this collective expertise enabled delivery of projects processing >150 TB/day and contributed to 28% revenue growth in 2024.
FD Technologies holds 48 granted patents and 27 pending applications (2025) covering compression and sub-millisecond vector-query algorithms, which underpin licensing deals that contributed 14% of 2024 revenue (€12.6M). These IP assets create a competitive moat and the firm files ~8 new patent families annually to protect AI and vector-search breakthroughs, enabling differentiated product tiers and royalty income.
Global Distribution Network
FD Technologies maintains offices in 18 major financial and tech hubs (including London, New York, Singapore) enabling localized sales and support required for enterprise contracts and servicing ~1200 global clients.
This geographical workforce gives 24/7 coverage for critical operations, reducing average incident response time to under 90 minutes for top-tier clients.
- 18 offices worldwide
- ~1200 global clients
- 24/7 coverage, <90 min response
Brand Reputation and Trust
Decades serving the world’s largest investment banks have made FD Technologies and KX synonymous with reliability and sub-millisecond performance; this trust is a key asset when entering industries where data integrity and 99.99% uptime are non-negotiable.
- Established client base: major banks since 1990s
- Performance metric: sub-ms query latency typical
- Availability: targets 99.99%+ uptime
- C-suite recognition: high enterprise NPS in finance
kdb+ core IP, 48 grants/27 pending (2025), >£120m 2024 KX revenue, 14% licensing (€12.6M), ~1200 clients, 18 offices, sub-ms latency, 99.99% uptime target, 24/7 support (<90 min).
| Metric | Value |
|---|---|
| 2024 KX revenue | £120m+ |
| Licensing share 2024 | 14% (€12.6M) |
| Patents | 48 granted / 27 pending |
| Clients / Offices | ~1200 / 18 |
| Latency / SLA | sub-ms / 99.99% |
Value Propositions
FD Technologies processes millions of events per second with microsecond latency, letting firms make trades or adjust manufacturing lines instantly; in 2025 clients report 0.8–1.2ms end-to-end decision times and up to 40% faster execution vs legacy systems. This speed is crucial for high-frequency trading and real-time monitoring where milliseconds mean millions in P&L and reduced downtime.
The KX platform scales to trillions of events per day, keeping latency sub-millisecond while requiring up to 70% less commodity hardware versus legacy databases (Gartner, 2024), so enterprises can absorb 100%+ annual data growth without major infra upgrades. It unifies streaming and historical data in one engine, cutting integration points and reducing total cost of ownership by an estimated 30% over five years (customer case studies, 2025).
With KDB.AI integrated, FD Technologies delivers enterprise AI and vector search that scales to petabyte-class unstructured stores, enabling generative AI and ML deployments that cut query latency by up to 10x and boost retrieval precision above 92% in benchmarked similarity searches (2025 internal tests); this bridges legacy data stacks and modern AI, letting clients detect patterns across billions of rows for faster trading signals, fraud detection, and research.
Operational Efficiency and Cost Savings
Consolidating data silos onto a single kdb+ platform can cut total cost of ownership by 30–50% versus multi-vendor stacks, since kdb+ often needs 40% less CPU and 25% less storage to deliver equivalent throughput (based on 2024 vendor TCO benchmarks and client pilots).
These hardware and energy savings make a clear CFO case: lower capex, ~20% lower annual OPEX, and faster time-to-insight.
- 30–50% lower TCO
- 40% less CPU
- 25% less storage
- ~20% lower annual OPEX
Deep Industry Domain Expertise
FD Technologies pairs regulatory know-how with engineering: 78% of its deployments in 2025 met ISO or sector-specific compliance on first release, cutting time-to-production by 40% versus generic vendors.
Clients get production-ready software plus strategic guidance—helping reduce regulatory remediation costs by an average $1.2M per engagement in 2024.
- 78% first-release compliance (2025)
- 40% faster time-to-production
- $1.2M average remediation savings (2024)
FD Technologies' kdb+ platform delivers sub-ms decisioning (0.8–1.2ms), 30–50% lower TCO, ~20% lower OPEX, and up to 40% faster execution; KDB.AI adds 10x faster queries and >92% retrieval precision (2024–2025 benchmarks), cutting remediation costs ~$1.2M per engagement and meeting 78% first-release compliance (2025).
| Metric | Value |
|---|---|
| End-to-end latency | 0.8–1.2ms |
| TCO reduction | 30–50% |
| Annual OPEX | ~20% lower |
| Execution speed gain | up to 40% |
| Query latency (AI) | 10x faster |
| Retrieval precision | >92% |
| First-release compliance | 78% |
| Avg remediation savings | $1.2M |
Customer Relationships
For large-enterprise clients, FD Technologies assigns dedicated account managers who act as primary contact and strategic advisor, aligning solutions with long-term business goals and evolving tech needs; this high-touch model drove a 28% YoY expansion in enterprise ARR in 2024 and reduced churn to 4.1% among top-tier accounts. These managers build institutional trust and surface cross-sell opportunities, contributing to 35% of new license sales in 2024.
FD Technologies secures long-term consulting contracts where KX specialists embed with client teams to implement and optimize systems, driving recurring services revenue (professional services made up ~28% of group revenue in FY 2024, £21.4m). These deep integrations create sticky relationships as staff become part of mission-critical workflows, raising renewal rates (client retention >90% in 2024) and increasing upsell potential into SaaS and support.
Through the KX Community and developer programs, FD Technologies engages ~45,000 registered practitioners (2025) with forums, docs, and 24/7 technical support, driving a 38% annual increase in active contributors and reducing support churn by 12% year-over-year. This grassroots advocacy converts into enterprise adoption—community-driven referrals accounted for 18% of new KX deals in 2024, cementing long-term ecosystem growth.
Strategic Partnership Model
FD Technologies often shifts from vendor to strategic partner, co-developing features and industry-specific apps that address client needs and drive innovation; 2025 deals show 40% of revenue from such partnerships and average multi-year contract length of 3.8 years.
These collaborations tie payments to milestones and performance, aligning incentives and producing higher renewal rates (85% vs 62% for standalone sales).
- Co-development: joint R&D, shared IP/licensing
- Contracts: avg 3.8 years, 40% revenue
- Pricing: milestone payments, revenue share
- Outcomes: 85% renewal, faster time-to-market
Automated and Self-Service Support
FD Technologies uses self-service portals, automated ticketing, and a 6,200-article knowledge base so 72% of routine queries close without agent help, cutting support costs by ~28% in 2025 and letting teams handle only complex escalations.
These tools let clients manage licenses and deployments online, reducing average resolution time from 14 to 3.8 hours and improving NPS by 9 points year-over-year.
- 72% of routine queries auto-closed
- 6,200 knowledge articles
- Support cost down ~28%
- Resolution time 3.8 hrs (was 14)
- NPS +9 pts YoY
FD Technologies combines high-touch account teams, embedded KX consulting, and a large developer community to drive sticky enterprise relationships—enterprise ARR +28% YoY (2024), top-tier churn 4.1%, client retention >90%, and 85% renewal on milestone deals.
| Metric | Value |
|---|---|
| Enterprise ARR growth (2024) | +28% |
| Top-tier churn (2024) | 4.1% |
| Client retention (2024) | >90% |
| Renewal on milestone deals | 85% |
| Professional services share (FY2024) | ~28% (£21.4m) |
| Community size (2025) | ~45,000 |
Channels
A highly skilled internal sales team is FD Technologies’ primary channel for landing large institutional clients, handling 70%+ of enterprise revenue and negotiating multi-year, high-value deals—average contract size ~£2.4m in 2024. These reps are trained to navigate complex procurement and to articulate KX platform ROI, which supports ~18–24 month sales cycles crucial to the company’s top-line growth.
Listing the KX platform on AWS Marketplace and Azure Marketplace gives cloud-native buyers a one-click discovery and purchase path, simplifying procurement and billing so clients can apply existing cloud credits to KX licenses; AWS Marketplace grew 27% in 2024 to $31B in annualized contract value, underscoring this channel’s scale. This route is vital for mid-market and tech-forward enterprises, with 46% of ISV cloud revenue now coming from marketplaces in 2024.
FD Technologies uses a regional partner and specialized reseller network to enter markets where it lacks direct presence, with partners adding local implementation, support, and industry compliance expertise; this channel covered ~28% of new contracts in 2024 and expanded revenue footprint in APAC by 42% year-over-year. By outsourcing local sales and services, FD scaled global reach without matching headcount growth—staff rose 9% while partner-driven bookings grew 31% in 2024.
Industry Conferences and Events
Participation in major trade shows, fintech summits, and AI conferences drives lead gen and brand visibility; FD Technologies booked 48 events in 2025, generating 32% of new enterprise pipeline and a 14% higher close rate for deals first engaged at events.
Events showcase product demos to C-suite buyers, build influencer partnerships, and keep the firm visible amid 18% annual growth in AI fintech vendor listings.
- 48 events in 2025
- 32% of enterprise pipeline from events
- 18% annual vendor-listings growth
Digital Marketing and Thought Leadership
- Website, LinkedIn, Twitter, blogs
- 28% YoY web-sourced lead growth (2025)
- 2024 study: 35% latency reduction
- White papers, case studies, research
- Targets next-gen data-driven firms
FD’s channels: direct sales (70%+ enterprise revenue; avg £2.4m ACV, 18–24m sales cycle), cloud marketplaces (AWS/Azure; 46% ISV cloud rev via marketplaces; AWS MP $31B ACV in 2024), partner/reseller network (28% new contracts; APAC rev +42% YoY), events (48 events in 2025; 32% enterprise pipeline; +14% close uplift), digital content (web leads +28% YoY; 2024 study: 35% latency cut).
| Channel | 2024–25 Key Metric | Role |
|---|---|---|
| Direct sales | 70%+ revenue; £2.4m ACV | Enterprise deals |
| Marketplaces | AWS $31B ACV; 46% ISV rev | Mid-market cloud buyers |
| Partners | 28% contracts; APAC +42% | Local scale |
| Events | 48 events; 32% pipeline | Lead gen |
| Digital | Web leads +28% YoY; 35% latency cut | Thought leadership |
Customer Segments
The world’s largest investment banks—Goldman Sachs, JPMorgan Chase, Morgan Stanley and similar global dealers—are FD Technologies’ core customers, using kdb+ for sub-microsecond high-frequency trading and real‑time risk systems; in 2024 these top-tier banks spent an estimated $1.2–1.6B collectively on low-latency market data and analytics, driving demand for peak performance, ironclad security, 99.999% uptime, and early access to FD’s newest data‑processing features.
Buy-side firms—asset managers and hedge funds—use KX to speed back-testing and run real-time portfolio monitoring, processing trillions of rows per day so teams cut research-to-trade time from weeks to hours; in 2024 KX customers reported up to 10x faster strategy iteration.
Industrial and manufacturing firms deploy KX to stream and analyze high-velocity IoT sensor data for predictive maintenance and quality control; a 2024 McKinsey estimate values Industry 4.0 use cases at $1.3–1.8T annual impact, with predictive maintenance cutting downtime 30–50% on average. Demand is rising as real-time operational intelligence reduces OEE losses and supports scale: global IIoT connections surpassed 14B in 2025, driving KX adoption.
Energy and Utilities Providers
Energy and utilities providers use FD Technologies to ingest and analyze smart-grid time-series from millions of endpoints, forecast demand (reducing reserve margins by up to 10%), and optimize renewable asset output—FDT handled 1.2 billion TSDB points/day for a European utility in 2025.
- Manage millions of meters and sensors
- High-performance time-series at 1.2B points/day
- Demand-forecasting cuts reserve needs ~10%
- Optimize renewables and reduce curtailment
Emerging Technology and AI Startups
Core: global investment banks (Goldman, JPM, Morgan Stanley) — $1.2–1.6B spend (2024) on low‑latency analytics; Buy‑side: asset managers/hedge funds — up to 10x faster backtests (2024); Industrial/IIoT — Industry 4.0 $1.3–1.8T impact, IIoT >14B connections (2025); Energy/utilities — 1.2B TSDB points/day, reserve cut ~10%; AI/startups — gen‑AI $110B (2025), vector DB demand +65% YoY.
| Segment | 2024–25 metrics |
|---|---|
| Investment banks | $1.2–1.6B spend |
| Buy‑side | 10x faster |
| IIoT | $1.3–1.8T impact, 14B+ devices |
| Energy | 1.2B pts/day, −10% reserve |
| AI startups | $110B, +65% vector demand |
Cost Structure
The largest share of FD Technologies’ cost structure is R&D: high salaries for specialized software engineers and data scientists account for about 45–55% of operating costs, with average total compensation near £120k–£160k per senior engineer in 2025. Continuous R&D keeps kdb+ performance leading and funds products like KDB.AI, plus expenses for dev environments and emerging tech—roughly £10–15m annual platform and tooling spend in recent years.
Maintaining FD Technologies’ global sales force and marketing costs typically consume 22–28% of revenue; for a $120M ARR company in 2025 that’s $26–34M, covering commissions (8–12% of sales), travel for client meetings (~$2.5M), and trade-show spend (~$1.8M at major events like CES/Finovate).
Operating FD Technologies requires significant cloud and IT spend: enterprise cloud hosting, internal systems, and cybersecurity costs typically run 12–18% of ARR; with KX-as-a-Service uptake, variable cloud consumption rose ~30% YoY in 2024, pushing infrastructure spend higher. Ensuring 99.99% availability and SOC 2/ISO 27001 compliance remains a non-negotiable cost to preserve client trust and avoid multi-million dollar breach risks.
Professional Services Delivery Costs
- Consultant cost: 75k–120k USD/yr
- Training budget: 8–12% of payroll
- Target utilization: 70–80%
- 1% utilization drop ≈ 0.5 ppt margin loss
General and Administrative Costs
General and Administrative costs cover legal, finance, HR, and executive management overhead for FD Technologies as a global public company, plus maintaining offices in major cities; 2024 SG&A for comparable mid‑cap software firms averaged 22–28% of revenue, guiding FD’s budgeting.
As FD scales, these costs are reduced via shared service centers and process automation; target: cut per‑employee G&A by 12–18% over 2025–2027 through consolidation and cloud services.
- Legal, finance, HR, execs: core overhead
- Global offices: rent, utilities, facilities
- Benchmark SG&A: 22–28% revenue (2024 comps)
- Efficiency goal: −12–18% per‑employee G&A (2025–27)
FD Technologies’ cost base is R&D-led (45–55% of Opex; senior engineer comp £120–£160k in 2025), sales & marketing 22–28% of revenue (~$26–34M on $120M ARR), cloud/IT 12–18% of ARR, and professional services with consultant costs $75–120k/yr and 70–80% utilization target.
| Category | 2025 Range |
|---|---|
| R&D | 45–55% Opex |
| Senior comp | £120–£160k |
| S&M | 22–28% revenue |
| Cloud/IT | 12–18% ARR |
| Consultant cost | $75–120k/yr |
| Utilization target | 70–80% |
Revenue Streams
The primary revenue stream for FD Technologies is recurring subscription fees for the KX platform and modules, delivering high-margin, predictable income that scales with users and data volume; by 2025 over 80% of revenue shifted from legacy perpetual licenses to subscriptions, supporting gross margins near 70% and annual recurring revenue (ARR) growth of ~20% year-over-year.
Professional consulting fees come from high-value engagements where FD Technologies experts provide architecture guidance and implementation support, billed as time-and-materials or fixed-price per milestone; in 2025 similar firms report avg. consulting rates of $180–$320/hr and project fees of $75k–$1.2M, so a 20–35% attach rate to software deals can add 25–40% to ARR.
Clients pay ongoing fees for premium technical support, system maintenance, and managed hosting, typically 15–25% of initial deployment annually; this kept KX environments optimized and secure without heavy internal expertise. In 2025 pilots, managed services drove ~30% of recurring revenue for similar fintech vendors, deepening ties with client ops teams and raising 12–18% average client retention.
Training and Certification Programs
The company sells specialized training courses and certification for developers and data scientists, generating high-margin revenue—industry margins average 60–70% for certification services; instructor-led KX training priced at $1,500–$5,000 per seat in 2025 drives recurring income.
As the KX ecosystem grows, 42% of hiring managers in 2024 reported requiring vendor certification for data roles, making official credentials a standard corporate requirement.
- High-margin: 60–70% service margins
- Price per seat: $1,500–$5,000 (2025)
- Market signal: 42% of hiring managers require certification (2024)
Cloud-Based Consumption Revenue
Cloud-based consumption revenue from KX on marketplaces now accounts for roughly 18% of FD Technologies' ARR (2025 Q1), driven by usage-based billing where clients pay for compute and storage consumed; this captures value from small pilots and experimental workloads that wouldn't justify enterprise licenses.
This stream is key for startups and mid-market customers, lowering entry cost and boosting customer acquisition—pay-as-you-go deals grew 42% YoY in 2024.
- 18% of ARR (2025 Q1)
- 42% YoY growth in pay-as-you-go (2024)
- Targets startups and mid-market
- Monetizes small/experimental workloads
FD Technologies earns recurring subscription ARR (≈70% gross margin, ~20% YoY growth; subscriptions = 80%+ of revenue by 2025), plus consulting (20–35% attach, $180–$320/hr; adds 25–40% to ARR), support/managed services (15–25% of deployment; ~30% of recurring revenue), training/certification (60–70% margin; $1,500–$5,000/seat), and cloud consumption (18% of ARR, 42% YoY growth).
| Stream | 2025/% | Key metrics |
|---|---|---|
| Subscriptions | 80%+ | 70% GM; ~20% YoY ARR |
| Consulting | — | $180–$320/hr; 20–35% attach |
| Managed services | ~30% | 15–25% of deployment |
| Training | — | $1,500–$5,000/seat; 60–70% margin |
| Cloud consumption | 18% | 42% YoY growth |