Helping global businesses implement Adyen payment solutions with secure architecture and optimized transaction flows.
Customizable AI Platform for Every Initiative Your Business Builds
Give every team the ability to build with custom AI solutions — without the wasted spend, data risk, and vendor lock-in that come from dozens of disconnected tools. Configured around your cost, compliance, and vendor requirements, so leadership always knows what's being spent, where the risk sits, and what's working across your business processes.
What Happens When Every Team Implements AI Separately
Every disconnected AI tool is another vendor to negotiate, another dataset at risk, another cost leadership can’t see. Bring it under one platform, and get the visibility, control, and consistency your business needs to scale AI workflows with confidence.
Wasted SpendWithout a shared platform, each team ends up solving the same problems. One group negotiates a vendor contract, builds the integration, and then the next team starts from zero on the exact same tool, because there’s no shared record of what’s already been done. The cost isn’t just the vendor invoice; it’s the duplicated engineering time, the repeated negotiations, and the integrations that never get reused across your operational workflows.
No Financial VisibilityAI spend is usually scattered across dozens of invoices, vendors, and expense lines, with no single view tying it together — making it hard to analyze data across the business. Leadership can see the total bill after the fact, but not which team is spending what, which tools are actually being used, or where the budget is heading next quarter. Without a consolidated view, cost decisions get made reactively, without being grounded in data.
Uncontrolled RiskWhen employees can send information directly to external AI providers, there’s no approval step and no audit trail — meaning proprietary data can leave the business without anyone knowing it happened. This isn’t a hypothetical edge case; it’s the default behavior of most standalone AI tools today, running without enterprise grade security. Without oversight built into the process, risk isn’t just possible, it’s already happening quietly across the organization.
Inconsistent QualityEvery team ends up with a different AI experience, because tools are configured, prompted, and used differently from group to group. Worse, providers can update their models at any time, silently changing model performance and downstream data quality — with no notice and no way to test the impact before it reaches your teams. What worked last month may not work the same way today, and there’s no consistent way to catch it.
Designed for Growing and Enterprise Organizations
Our customizable AI platform is designed for mid-size and enterprise companies with active engineering and product organizations — typically 50 or more people in technical roles — that are already running multiple generative AI initiatives, expanding their AI capabilities, or are about to, and need enterprise-grade governance across customizable AI platform investments and other AI platforms.
If AI use in your company is still one small team experimenting on its own, this is more than you need today. It earns its place once more than one team is building across your tech stack and leadership needs a shared, reliable way to see and govern all of it, especially as performance and scalability matter when AI usage expands across teams and user cases.
Use Cases Where the Platform Fits Across Your Business
AI shows up everywhere: a developer’s terminal, a support chat, a custom app, a background automation — and governing each one separately leaves gaps risk can slip through. One foundation covers all of it, so every team moves faster, every dollar is visible, and every request meets the same bar.
Agentic Engineering for DevelopersDevelopers already use agentic coding tools like Claude Code to move faster through the development lifecycle. Left ungoverned, every engineer connects their own way, with no record of what data these agents touch or what it’s costing. The platform brings the same cost, compliance, and access controls here as everywhere else, so speed doesn’t cost visibility.
General AI Chat for All WorkersEvery employee reaching for a chat assistant like ChatGPT to draft or think something through is now a data governance question, whether planned for or not. Without a governed path, sensitive information moves through personal accounts with no audit trail. The platform gives every worker the same fast, familiar chat experience, routed automatically through the right data protections.
Custom LLM-Driven ApplicationsTeams building their own AI-powered features: a support tool, an internal search assistant, a customer-facing product. Usually re-solve the same problems each time: provider integration, cost tracking, compliance checks. Building on the shared foundation means those pieces are already in place, so teams ship custom applications on top of governed infrastructure.
Custom LLM-Driven WorkflowsAutomation platforms like n8n let teams wire AI directly into business processes, but a workflow with an ungoverned model call is still an ungoverned model call, regardless of how it’s triggered. The platform extends the same data classification, approval, and audit logic into these workflows, so an automated AI step is held to the same standard as a person typing a prompt.
InteroperabilityAn AI provider gets restricted in your region, changes its data terms, or simply stops being the right fit — and teams built around one vendor are stuck rebuilding under pressure. The platform connects to any provider, or self-hosted on-prem models, through configuration, not custom engineering. When the market or the regulatory landscape shifts, your teams switch providers, not tech stacks.
How It Works
From the first request to full visibility across every team — a platform built around your existing systems, your data boundaries, and your governance requirements from day one.
Teams Keep BuildingYour teams continue working with the AI models they already use — OpenAI, Claude, Gemini, Google Vertex, or self-hosted large language models. There’s no rip-and-replace, no retraining, and no disruption to how teams already work.
Every Request Is GovernedBefore any request leaves your environment, it passes through automatic cost, compliance, and security checks — no manual review, no relying on individual teams to remember the rules. Sensitive data is identified and handled through automated data processing, according to the boundaries your compliance and security teams define, so governance happens by default, not by policy document.
Leadership Sees EverythingEvery team, every project, every dollar of AI spend rolls up into a single view, part of a broader shift toward AI-driven automation. Instead of piecing together invoices after the fact, leadership can see what’s being used, what it costs, and where risk sits — in real time, not at quarter-end. That visibility also supports automated data analysis for inventory management and trend forecasting, helping teams predict customer trends more effectively.
Shaped Around YouWhether your business runs in the cloud, self-hosted, or a mix of both, the platform is matched to how sensitive your data actually is — giving you full control, not a one-size-fits-all default. As requirements change, the setup adapts with you, without a rebuild.
Customizable AI Platform as a Service — What It Provides
Developing custom AI based solutions and a platform, we’ve designed this foundation to create value across the business lines at once — central to any serious AI strategy — speed, cost, and risk, together, instead of trading one for another.
- 10x Faster Launch
for new AI features, once teams share one governed foundation instead of building from scratch. Infrastructure, compliance checks, and provider connections are already in place — teams build on what exists instead of re-solving it every time.
- 100% Visibility
into AI spend, with every dollar across every provider attributed back to the team and project responsible for it. Leadership gets a single, real-time view of where budget is going — turning AI spend from a black box into a line item they can actually manage.
- Zero Exposure
of unapproved data leaving the company. Sensitive information stays inside your environment by default and only reaches an external provider through approved models — making the safe path the only path, so oversight doesn’t depend on trust alone.
One Governed Foundation, Full Cost Control
Cost, compliance, vendor flexibility, and deployment control — brought together as comprehensive services under one custom AI foundation, so leadership manages AI as a single system instead of a dozen disconnected tools.
Cost Control and VisibilityOne view shows exactly what every team is spending on AI, broken down by department, project, and provider — including any custom enterprise pricing arrangements. Budgets and alerts are set centrally, so spend is capped before it becomes a problem — instead of surfacing three months later on an invoice no one was watching.
Compliance and Data Protection, Built InEvery use of AI is automatically checked against your data policies, with no team left to interpret the rules on its own. Sensitive information stays inside your environment unless a request is explicitly approved, and every request leaves a full record for audit — so compliance is enforced by the system, not left to individual judgment.
Independence From Any Single AI VendorTeams can use, switch, or add AI providers without renegotiating contracts or rebuilding tools from the ground up each time — across different model types, a standalone custom model, and pre-trained models alike, with clear model selection guardrails. That means your business is never locked into one vendor’s custom pricing, roadmap, or availability — the platform adapts as the market does, instead of leaving you stuck with last year’s decision.
Deployment on Your TermsRun entirely in the cloud, entirely on your own infrastructure, or a mix of both — matched to what your data sensitivity, industry, and underlying AI technology actually require, even for complex workflows, not a one-size-fits-all default. Highly regulated data can stay on-premises while lower-risk workloads run in the cloud, without adding separate tools to manage each case.
One Point of GovernanceEvery team building with AI operates under the same policies and reporting, so there’s a single source of truth instead of five different interpretations of “how we handle AI here.” Leadership always has a current, accurate answer supporting faster decision making — not a quarterly reconstruction.
Security and Compliance, by Design
Every request passes through the same review — who is making it, what data it touches, and whether it can leave your environment.
Data Classification RoutingEvery piece of data is classified: public, internal, confidential, or restricted, and routed accordingly, automatically. The most sensitive information is never sent to an external provider by default; it’s kept within your environment unless a request is explicitly approved, so the safe outcome doesn’t depend on someone remembering the rule.
Defense in DepthSecurity isn’t a single checkpoint — it’s layered, built for enterprise grade security from the ground up. Every request is verified for identity and authorization, checked going in and coming out, and logged in full for audit, giving security teams complete control over every layer. If one layer is bypassed, the next one still holds, so protection doesn’t rely on any single control working perfectly every time.
Backed by Hands-On Enterprise AI and Machine Learning Experience
Backed by hands-on experience in custom AI solutions development, designing and building platforms for organizations with the same priorities as yours — cost discipline, data protection, and staying in control as AI adoption accelerates.
Proven Foundation, Not an ExperimentBuilt on mature, widely-adopted open-source AI software already handling large-scale production traffic elsewhere, proven through real data science workloads. You’re not the first to run on this foundation — you’re building on top of something already tested under real-world load, not a proof of concept.
Governance From Day OneSecurity and compliance are part of the architecture from the start, not bolted on after teams are already governing their use of Artificial Intelligence. That means the rules your business needs — who can access what, where data can go — are enforced from the first request, not retrofitted once a gap is discovered.
Fits How You Already WorkIntegrates with your existing processes and infrastructure, rather than asking you to replace what already works. Your teams keep the systems and automation tools they know, while the platform adds control and visibility underneath, not another system to learn on top — just tailored solutions layered onto what’s already there.
From Pilot to Default
Each stage earns the next — a small group proves the model, the platform becomes the default, and only then does it take on more complex work involving custom AI agents.
Step 1 — MVP, Prove the Model With Pilot TeamsLLM Proxy + all providers
Full guardrails & audit
Data classification routing
Basic agent runtime
Step 2 — V1, Default Path for All New AI WorkSelf-service onboarding
Knowledge Base (RAG)
Long-term memory
Step 3 — V2, Sophisticated, Multi-Agent WorkMulti-agent coordination
Fine-tuning lifecycle
Automated routing
ROI metrics dashboard
Certified
By Independent Organizations
Confirmed by Oracle certification, our company provides top-notch tech expertise in building and delivering cutting-edge database and cloud-based apps.
IIBA Certification signifies our proficiency in business analysis, ensuring a deep understanding of client needs and industry requirements.rn
With AWS Certification, we guarantee top-tier cloud expertise, enabling us to architect robust, scalable, and secure solutions.
Trusting your project development to us, you can rely on our project management excellence, meticulous planning, and efficient resource utilization. rn
Our Scrum Alliance Certification demonstrates our dedication to agile methodologies, fostering collaboration and iterative development.rn
Backed by Scrum.org Certification, our development team leverages the best principles of Scrum to build superior and iterative software solutions.
Trusted Globally by Innovation-Driving Companies
From FinTech industry stalwarts to industry-leading eCommerce providers, from well-established large and mid-sized businesses in a range of verticals to promising digital startups
An American financial services firm that provides investment research and investment management services
Financial data and software company with offices in London, New York, San Francisco, and Seattle.
All-in-one omni commerce payment solution with contactless, fast, secure, and safe payment processing
One of the most recognizable landmarks, a company that specializes in innovative travel and hospitality services
SaaS XSPN – Next Generation Application & Cloud Security Posture Management
A leading tech-enabled insurance company that provides workers’ comp coverage to small businesses
A UK-based provider of online payment solutions to businesses of all sizes worldwide
FAQ
Do we need to replace our existing AI tools?
No — the platform integrates with the custom AI tools your teams already use, whether that’s virtual assistants, specific models, or other systems, rather than replacing them. Most companies adopting AI piecemeal end up with five or six tools that don’t talk to each other, each with its own login, contract, and data policy — a mess that gets harder to unwind the longer it runs. We connect your existing tools through one governed entry point, so teams keep their workflow while leadership gains the visibility and control that were missing before.
How long does it take to get started?
A pilot with a single team can typically go live in weeks, not months, keeping the development process scoped to one use case rather than a company-wide rollout. The risk with most AI rollouts isn’t the pilot — it’s what happens after, when five other teams copy the pilot with none of the same controls in place. We build the governance layer in from the pilot stage, so scaling to additional teams later doesn’t require reworking what’s already running.
Will our data be used to train someone else’s model?
Your proprietary data stays inside your environment and is never used as training data for an external provider’s model unless your business explicitly approves it. The real risk here isn’t malicious misuse; it’s an employee pasting confidential data into a public AI tool with no audit trail, which happens constantly without any bad intent. Our platform routes requests based on data sensitivity automatically, so restricted data never reaches an external provider by default.
Our Clients are Happy
To share their experiences
Alex Samano
Co-Founder & CEO, Mogami App
SPD Technology has done a great job of maintaining the lifeblood of their codes. They’re transparent with pricing models and deliver within budget. Their dedicated teams act as an extension of the partner’s company. Responsibility and a commitment long-term partnership are two hallmarks of their work.
Fabrice Forget
Chief Product Officer, PitchBook
We feel very lucky to have found SPD Technology as our partner. Over the last 10 years, they have totally surpassed our expectations, and day after day we have received incredible value from the team. Here is the secret sauce, just put together your best ideas in your requirements and there is nothing they can’t do!
John Gabbert
Founder and CEO, PitchBook Data
Customers are king at PitchBook and SPD Technology shares in this mission. For the last 13 years, SPD Technology has helped us scale product development and continuously deliver the product functionality our clients need to make smarter decisions.
Prasad Sridhar
Senior Engineering Manager eCommerce Solutions Company
SPD Technology’s work has been praised by the client for their consistency and high quality. Their communicative, responsive, and flexible project management ensures a positive collaboration. Ultimately, their professionalism and forward-thinking are impressive.
Shariq Ahmad
Head of Technology, Morningstar, Inc
All of their developers and technology staff are highly talented and very professional. Working with SPD felt like we were working with an internal team. They are always accessible any time of the day and very flexible in providing support to our users who are globally distributed.
Steve Carner
Founder CEO, Home Hub
The team at SPD Technology exceeds expectations. Their professional communication style makes them stand out, They’re a skilled group of detailed-oriented workers. Customers can expect a team that provides helpful suggestions to better their clients.
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