Research & Development Services
Ever had a new idea, but weren't sure how to assess its viability, or turn it into an actual product? One way to turn an idea into a marketable product is through Softjourn’s Research & Development services. Our team can investigate how different technology, prototyping processes and functionalities can be applied in Fintech, Cards & Payments, or Media & Entertainment (especially ticketing)–and help you move quickly and stay competitive.
Some of Our Happy Clients:
Accelerate Growth With R&D
Our clients are always looking for new, better services to compete in the digital world. That's why Research & Development services play a major role in throwing light on ideas that are workable and worthwhile.
Beyond assessing baseline viability, our R&D team can suggest new procedures, more efficient development plans, and ways to reduce operational costs and automate processes.
Softjourn has two R&D centers dedicated to finding ways to apply new technologies to help our clients solve issues that arise with their growing needs.
Softjourn provides technology research and development services to help you. Give yourself time to experiment with ideas and technologies that may turn into your next market advantage.
R&D is crucial for any business since it provides knowledge to grow and develop products. It allows companies to enter markets where they can attract new customers, win attention, and increase market share.
What a Dedicated R&D Center Includes
How We Engage
A 2 to 4 week engagement that answers one question: Is this technology ready for your context? You get a written readiness call and a go/hold / no-go recommendation, backed by evidence.
A 4 to 8 week engagement that builds a working prototype against your real constraints. You get performance, cost, and integration findings in writing – plus a handover package for delivery.
Our flagship engagement. A 3 to 12+ month dedicated team of 3 to 8 specialists, embedded in your stack with quarterly road map inputs, steering committee cadence, and written decision logs.
An ongoing retainer. Our R&D leads review roadmap decisions, AI vendor claims, and new-tech adoption with your product and engineering teams at a monthly or quarterly cadence.
Choose a Proof of Concept When:
You have one clean hypothesis that needs validation in 4 to 8 weeks.
There is already an internal consensus on direction, and you want evidence to confirm it.
Your budget is scoped for a single deliverable with a defined end date.
Your in-house team will pick up the work after handover.
Choose a Dedicated R&D Center When:
You have more than one R&D question in the same domain over the next 6 to 12 months.
Your roadmap has hype-sensitive decisions coming, and you want an external team that will recommend "hold" when the evidence says so.
You need a research context to carry from one experiment to the next, instead of rebuilding it each time.
You need external R&D capacity whose written output can be taken to a steering committee or a board review.
Want to scope an R&D engagement? We start with a 30-minute fit call.
Get in TouchWe Use AI. We Build AI.
AI-Augmented Delivery
We use AI across our own delivery workflow – coding, review, testing, docs, deployment. A human engineer reviews every AI-assisted change before it ships. That is what separates production AI from demos.
AI Solutions for Clients
We build AI systems that clients run in production. Three sub-verticals: Knowledge Sharing and Engineering Transformation for their engineers, Automation & Workflow for operations, and Client-Facing AI for their end users.
AI R&D Capabilities
We treat AI as one tool in our toolbox. Our R&D applies agentic orchestration, retrieval augmented generation, computer vision, predictive ML, and model integration to ticketing, payments, media, and identity problems. Every engagement begins with fit testing, cost-per-task measurement, and a written record of failure modes. The output is a working prototype or a documented "not yet" with the conditions that would change our answer.
AI Readiness and Integration
A 2 to 4 week engagement that tells you whether your use case is ready for AI, whether your data and governance are ready for the model you picked, and how much the whole thing will cost to run. You get a written readiness call plus an integration plan for the systems where the AI will actually live.
Data Foundations for AI
Data audit, cleanup, and preparation that make AI projects viable. We assess source quality, permissions, and coverage before a model is chosen. Typical work includes knowledge architecture, OCR pipeline design, entity resolution, and semantic layer setup for governed analytics.
Document & Content Automation
AI for document intake, review, extraction, summarization, drafting, and routing through human-in-the-loop workflows. Patterns include intake automation, contract review, policy or compliance review, and proposal drafting. We scope by document family and ship with confidence scoring, exception handling, and evidence capture.
Knowledge Assistants and Chatbots
Conversational or search-first assistants grounded in your own content. Core pattern is retrieval-augmented generation with permissions-aware retrieval, citation-backed answers, and fallback handling. Our ticketing chatbot case study documents a 40-60% cost reduction through strategic model allocation.
Workflow Coordination and Orchestration
Agents that move work forward across people and systems. Use cases include meeting-to-action coordination, vendor intake, approval routing, and SLA follow-up. We build on Temporal, Camunda, or n8n with approval and escalation logic, confirmations, reminders, and audit reporting.
Agentic Data Pipelines
AI-driven data workflows that turn raw multi-source data into enriched records, scored signals, alerts, or routed actions. Typical outputs include lead intelligence pipelines, anomaly triage, and CRM enrichment flows. Our internal Sales Assistant ships this pattern against real CRM and document workloads.
Analytics and Decision Copilots
AI copilots that help users query governed business data, interpret charts, and support decisions. Patterns include text to SQL over a semantic layer, governed question sets, and auditable answers with escalation to analysts. We restrict the scope to domains with trusted data foundations.
Customer Service and Contact Agents
AI systems that support or partially automate customer service across chat, email, and ticketing. Patterns include citation-backed suggestions, conversation summarization, live agent assist, and escalation logic with bounded automation. We design for handle time, service consistency, and compliance.
Where Our Non-AI R&D Concentrates
R&D is not just AI. Our deepest non-AI R&D runs in three territories where the hard problems live in hardware, protocols, and trust – not models: ticketing hardware and access, payments innovation and rails, and biometrics and identity.
TICKETING HARDWARE AND ACCESS
Embedded and mobile R&D against ticketing hardware stacks. We have shipped Boca printer pipelines, NFC ticket POCs, Janam access control scanners, and photo capture modules on embedded Linux and iOS. Every engagement contends with device constraints, offline tolerance, and venue-scale throughput that cloud-first teams do not see.
PAYMENTS INNOVATION AND RAILS
Deep payment R&D across wallet integration, push provisioning, open banking, and tokenized transactions. We have built Google Pay and Apple Pay flows, multi-wallet bank prototypes with FIS, PSD2 Open API integrations, and PexCard-scale card issuance pipelines. The work sits on top of real payment rails under real compliance regimes, not sandbox traffic.
BIOMETRICS AND IDENTITY
Identity R&D across AML and KYC pipelines, facial recognition for access control, liveness detection, and biometric enrollment. We deliver vendor-agnostic integrations that balance false-accept and false-reject rates against regulatory requirements. Engagements include PexCard biometric onboarding and venue access control prototypes.
REGULATORY AND COMPLIANCE ENGINEERING
Audit-grade systems design for payments, identity, and financial services. R&D engagements include PSD2 Open API integrations, PCI DSS-compliant card issuance pipelines, AML and KYC documentation chains, and regulatory change scanning. We design compliance into the architecture from day one, so the final audit becomes verification rather than rework.
MEDIA AND ENTERTAINMENT R&D
Media R&D across streaming, audio, VoD, and live event workflows. Engagements include live-event audio synchronization across outdoor venues, VoD delivery architectures, rights management prototypes, and in-seat ordering pilots that blend ticketing, payments, and real-time content. Latency and rights constraints shape every design decision.
PERFORMANCE AND SCALE ENGINEERING
Performance engineering against high-throughput, high-concurrency workloads. We benchmark and redesign systems that need to hold up under venue-scale spikes, payment settlement windows, and multi-region load. Deliverables include profiling reports, bottleneck fixes, and architecture recommendations backed by real traffic shape analysis.
Where Our R&D Runs Deep
Softjourn's R&D practice is domain-driven by design. Our research agenda comes from ticketing, payments, media, and identity workflows that keep throwing us problems worth solving. That sequence matters: domain first, research second, recommendation third. The FinTech, ticketing, and media cards here are industries we have been inside for over two decades, not markets we are trying to enter.
DOMAIN-DRIVEN R&D
Softjourn's R&D practice is domain-driven by design. Our research agenda comes from ticketing, payments, media, and identity workflows that keep throwing us problems worth solving. That sequence matters: domain first, research second, recommendation third. The FinTech, ticketing, and media cards here are industries we have been inside for over two decades, not markets we are trying to enter.
FINTECH
Payments, cards, wallets, expense management, and money movement. We have shipped R&D for issuers, processors, expense platforms, and ticketing payment flows. Our FinTech R&D covers new payment rails, tokenization, card issuance infrastructure, and the compliance layers that turn prototypes into production systems.
TICKETING AND LIVE EVENTS
Our ticketing R&D covers platforms, access control, and the hardware layer at the venue gate. We have worked on printer integrations, NFC scanners, access control logic, AI ticket assistants, and in-seat ordering. Ticketing is where our R&D bets have paid off fastest.
MEDIA AND ENTERTAINMENT
Live streaming, rights management, audio synchronization, and OTT distribution. Our media R&D has shipped audio-sync platforms and several streaming workflow projects. We work on the engineering problems behind how content is delivered, monetized, and rights-managed at scale.
Our R&D Case Studies
Event Ticketing
A/V Sync Engine for Outdoor and Drive-In Film Viewing
Cinewav needed to sync film audio on patrons' personal smartphones with projected video across unpredictable outdoor venues, contending with variable latency, unknown devices, and Bluetooth inconsistencies. We validated the sync algorithm through a PoC, then built the full platform: mobile apps, desktop player, web portal, and a custom DRM pipeline after standard cloud services fell short. Cinewav has tested the technology at over 30 live events and is expanding globally.
R&DBMAD Agentic Workflow for Custom Software Development
Our R&D team tested BMAD, a multi-agent software development method, against real client workstreams. We measured agent output quality, failure modes, and the time saved by the engineer versus the time spent supervising. The result: a documented decision framework showing where agentic workflows pay off in custom development and where they do not.
- FINTECH
A Leader in Innovation After a Decade of Partnership
Over a decade with PEX, our Dedicated R&D Center shipped mobile card programs, analytics tooling, Salesforce integration, PCI compliance work, and the infrastructure behind a growing expense management platform. This is long-game R&D: the team that shipped the first feature is still in the room when the next compliance deadline arrives.
- TICKETING
Moving Crowds Faster at Planeta Kino IMAX
Planeta Kino needed to move thousands of IMAX attendees through the gates without breaking the ticketing flow. Our team integrated mobile ticket scanning with venue access control hardware, load-tested at real event volume, and shipped an access pattern that substantially reduced gate time across multiple cinemas.
- TICKETING
Cloud Optimization: 20,000 Tickets in 5 Minutes
A ticketing client was hitting infrastructure ceilings during on-sale peaks. Our team profiled the bottlenecks, found queries running 145x slower than necessary, flagged 10 million phantom records choking the database, and redesigned the autoscaling strategy around actual resource utilization instead of response time. Deliverable: a prioritized action plan to sell 20,000 tickets in five minutes, validated against real traffic patterns.
Benefits of Working with Softjourn
R&D as a Named Practice Since 2008
We opened Softjourn's R&D practice in 2008 as a governed unit, not a loose group of engineers. The rules we set then still hold: senior practitioners, small teams, written gates, and a culture that treats a well-researched 'not yet' as a real deliverable. Every R&D engagement today inherits that discipline, updated continuously against new technologies, new compliance boundaries, and new client problems.
Teams Across The World
Our engineers work from Ukraine, Poland, and Brazil. This gives us time-zone coverage across the Americas and Europe, regulatory flexibility across jurisdictions, and the ability to pull in the right specialists from wherever expertise lives. The team is shaped by the problem, not a fixed office roster.
Deep in Three Industries, Fluent Beyond Them
FinTech, ticketing, and media are the industries we've been inside long enough to know where the real problems are. Our technical depth – Java, .NET, AWS, AI, mobile, and hardware integration – is broad enough to apply beyond them. When a problem sits outside our home industries but inside our technical reach, we take it.
Partnerships That Outlast Hype Cycles
Our longest client partnerships pass the decade mark. PEX, UPC, and Tacit are still shipping with Softjourn R&D teams that were first in the room for their early product work. The compound effect is real: the engineer who solved last year's problem is already onboarded for this year's. R&D that stays pays back.
'Not Yet' Is a Real Deliverable
Not every R&D question deserves a 'yes.' When the evidence says the technology isn't ready, we say so in writing and name the conditions that would change our answer. That honesty is the deliverable. Clients keep coming back because the 'not yet' saved them from the wrong investment.
Working Prototypes, Not Slide Decks
R&D at Softjourn outputs running code. A proof of concept, a prototype, or a working integration – something a product team can run, benchmark, and extend. Slide decks are how we brief you on the work, but they are not the work. Every engagement closes with a demo and a repo, not a PDF.
Curious about AI solutions? Start with an AI Readiness Assessment.
Start AssessmentThe People Behind an R&D Engagement
Teams are assembled per engagement, from our offices in Ukraine, Poland, and Brazil. A typical R&D setup includes:
Head of R&D – sets direction, owns the "go / not yet" calls, first point of contact.
Solution Architects – provides industry depth in FinTech, ticketing, and media. They help you decide whether your idea fits your stack and operations.
Senior Engineers – build the working prototype across Java, .NET, AWS, AI/ML, mobile, and hardware.
Delivery Managers – run stage-gates, risk posture, and compliance fit at the engagement level.
Project Managers – deliver day-to-day execution, client communication, and cadence.
Business Analysts – give discovery and problem framing at the Explore stage.
QA / Test Engineers – conduct failure-mode testing and validation evidence.
Questions CEOs Bring Us
Is this AI bet defensible to my board six months from now?
How do I protect the roadmap from hype-cycle whiplash?
Can I say yes to AI and keep the compliance posture my regulators expect?
What does "ready for production" actually cost vs. what vendors quote?
A competitor just shipped a new feature or platform. Is it worth building the same?
What should I stop spending on before I start spending on AI?
How do I tell a credible vendor from one whose demo won't survive production?
Questions CTOs Bring Us
Which AI stack fits my architecture without creating years of rework?
Build, buy, or fine-tune – how do I decide per use case?
How do I run R&D without pulling engineers off delivery?
How do I add an AI agent to a system that already has dozens of services in production?
What's the failure mode of this tech under my actual traffic shape?
What's the real cost-per-task once the model is running at our volume?
How do I evaluate this technology without committing months of engineering time?
Engagement Models
Whenever you need technical skills or expertise, Softjourn's dedicated R&D team can help extend resources and work seamlessly with your company under your guidance or ours. This model is ideal when planning long-term or larger-scope projects, when there's a pool of tasks, or when there is a clear vision of future project objectives. Learn more about how Softjourn's dedicated team can support your projects and scale your business goals.
Client Testimonials
Tacit Corporation chose Softjourn as their technology partner, impressed by our technical expertise and direct approach. Brenda Crainic, CTO of Tacit, highlighted, "We grew a lot as a company over the last 12 years and our processes changed, many of the current development practices being initiated by the team. I count a lot of my team's expertise and I am confident in our ability to deliver cutting-edge technology for our clients.
Our team's dedication to understanding Tacit's needs has been instrumental in enhancing their platform's capabilities, ensuring robust research and development solutions. This ongoing collaboration underscores our commitment to delivering high-quality, innovative services that support our clients' visions." - Brenda Crainic, CTO and Co-Founder of Tacit
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We were encouraged because Softjourn asked the right questions, involved people with the right experience in to the conversations. Showed good leadership in managing the process of walking them through the sales process, keeping them on track, and has a lot of strong knowledge in the financial area, as they are a small software developer company and there are always so many other things that are pulling us in multiple directions. As well Softjourn shows a lot of experience in multiple programming languages and in combining them in to one product.
I feel like Softjourn's team knew what they were doing and that they had the experience and enthusiasm we needed. Any challenges that we threw at them they were willing to take on and solve for us!
Omar SiderPresident at Superstar