We are a commodities and energy trading AI platform deploying purpose-built agents for CTRM implementations, upgrades, support, and transformation. Our Agentic AI approach accelerates delivery from requirements to testing, deployment, and hypercare.
Faster CTRM Go-Live
Faster CTRM Upgrades
Faster CTRM Middleware Implementation
Faster CTRM Incident Resolution
From greenfield implementations to trading optimization, our Agentic SDLC agents work alongside your teams to compress timelines, modernize legacy systems, and deliver measurable outcomes across the CTRM lifecycle with Agentic SDLC practices.
AI assisted implementation journey which brings efficiencies starting from requirement gathering -> business design -> technical design -> development -> automated testing and deployment. Our AI Assistants are bring efficiencies of 40% throughout life cycle..
Explore Implementation AgentsAI agents automate technical impact assessment for CTRM upgrades followed by automated code remediation for API changes, Database Table and column changes, environment variable changes and security role changes.
Explore Upgrade AgentsAI agents assists with analysis of issues and recommend solutions based on historical fixes. They also help with automated testing and reconciliation of results. Our left shift approach in support helps to bring 50% optimization in TCO
Explore Support AgentsAI agents that analyze P&L patterns, optimize hedging strategies, surface position concentration risks, and recommend real-time adjustments to maximize trading book performance.
Explore Trading AgentsOur implementation agents don't just assist — they actively participate in every phase, from requirements capture through hypercare, working 24/7 to compress your critical path.
Our upgrade agents don't just assist — they drive the version upgrades to get a faster, more efficient, and error-free deployment.
Energy data is messy — disparate formats, volatile schemas, multi-source reconciliation. Our integration agents bring order to chaos with intelligent automation across every data touchpoint.
Each agent is domain-trained on CTRM semantics — instruments, curves, books, settlement rules, regulatory frameworks — and operates autonomously or collaboratively within your workflows.
Validates trade entries against instrument definitions, checks limit compliance, and flags booking anomalies in real time.
ImplementationMonitors forward curves, settlement prices, and mark-to-market valuations for staleness, outliers, and source discrepancies.
Market DataMatches positions across CTRM, clearing brokers (BNP, ICE, CME), and risk systems — auto-resolving known break patterns like FSD timing mismatches.
ReconciliationEnsures EMIR, Dodd-Frank, and REMIT reporting requirements are met — validating trade reports, UTIs, and LEI references automatically.
ComplianceResolves timing mismatches between CTRM realization dates and clearing house settlement schedules (FSD, prompt dates, expiry calendars).
OperationsValidates VaR parameters, stress scenarios, and Greek calculations against benchmark models — flagging calibration drift before it impacts reporting.
Risk ManagementWe don't impose a one-size-fits-all framework. Your teams have built processes shaped by years of institutional knowledge, regulatory context, and hard-won lessons. We respect that. Our deep skilled agents come with built-in skills but still plug into your existing methodology and make every phase faster, more reliable, and most importantly aligned with your own ways of working.
Establish strong foundations by seeding strong proven domain experience in the off-the-shelf platform.
Adjust configurations, workflows, and integrations to your operating model with minimal disruption.
Continuously improve outcomes through iterative enhancements, validation loops, and feedback-driven optimization.
Scale proven capabilities across teams and portfolios to maximize value, speed, and long-term resilience.
SPADD is the strategic enabler of your transition to lean, AI-native Diamond Team Structures.
We are CTRM practitioners first, AI engineers second. Our agents encode decades of commodity trading technology expertise.
Our agents understand instruments, curves, books, strategies, and settlement mechanics out of the box — no generic AI wrappers.
Deep experience across Endur/OpenLink, Triple Point CXL, Allegro, RightAngle, Aspect, and custom in-house systems.
All agents run within your environment. No trade data leaves your perimeter. SOC 2 compliant architecture.
Agents augment your teams, not replace them. Domain experts stay in the loop for decisions while agents handle volume and velocity.
Every implementation makes our agents smarter. Patterns from past engagements continuously feed back into agent capabilities, sharpening performance with each new project.
We are CTRM practitioners, AI engineers, and data architects who spent years delivering trading technology the hard way — before deciding there had to be a better one.
Combined Years of CTRM experience
CTRM projects across platforms
Disciplines. One mission.
AI agent platform built for CTRM
Between us, we have spent the better part of two decades inside CTRM projects — implementing Endur, migrating Allegro, upgrading RightAngle, building interfaces between clearing systems and back offices. We know what an 18-month go-live looks like at month 14 when testing slips. We know what it costs to run manual regression cycles on a version upgrade. We know the toll of BAU support queues that never shrink.
"Every project, we were doing the same things by hand that a well-trained agent could do in minutes."
The moment AI reached a capability threshold where it could genuinely understand CTRM semantics — instruments, curves, books, settlement rules, regulatory frameworks — we stopped asking whether someone else would build this, and started building it ourselves.
SPADD AI is the platform we always wished existed. Purpose-built, domain-trained, and designed by people who will never accept "that's just how CTRM projects work" as an answer.
Decades of hands-on delivery across greenfield implementations, system migrations, and platform upgrades. We understand every phase of the CTRM lifecycle — not from a methodology slide, but from the project war rooms where decisions get made under pressure. Our agents encode the patterns, shortcuts, and hard-won lessons that only come from that experience.
ImplementationBuilding reliable AI agents is a different discipline from building generic AI tools. Our engineering team specialises in agentic systems — autonomous agents that reason, plan, and act across complex multi-step workflows. We have made deliberate choices about architecture, safety, and auditability that generic AI platforms simply don't make for a domain this regulated.
EngineeringEnergy data is notoriously messy — volatile schemas, multi-source reconciliation, legacy formats that predate modern standards. Our data architects have spent careers solving the integration problem between CTRM platforms, clearing systems, market data feeds, and back-office infrastructure. That expertise is embedded directly into how our integration agents are designed.
Data ArchitectureWe have sat on the trading floor side too. We understand what traders and risk managers actually need from their CTRM infrastructure — not just what IT delivers. That front-office perspective shapes how we think about P&L accuracy, position reconciliation, settlement timing, and the real cost of system downtime when positions are open and markets are moving.
Trading OperationsTimelines measured in years. Costs measured in eight figures. Outcomes that rarely match the business case. The delivery model was broken long before AI — we just accepted it because nothing better existed.
Generic AI has been around for years. But it took until recently for foundation models to achieve the level of structured reasoning — multi-step planning, constraint handling, domain-specific accuracy — that CTRM work demands. We were watching closely. When the threshold was crossed, we moved.
The major CTRM vendors are focused on platform features. The large SIs are focused on billable hours. Neither had an incentive to build AI agents that optimize efficiency and reduce cost. That gap was the opening — and we are the first to step through it.
The energy transition, new asset classes, evolving regulatory frameworks, and the move to real-time settlement are creating an upgrade and change backlog that traditional delivery cannot absorb. CTRM teams need a multiplier — not more consultants.
We will never ship a general-purpose AI wrapper and call it a CTRM solution. Every agent we build is domain-trained on CTRM semantics — instruments, curves, regulatory constraints, clearing mechanics. If it doesn't understand your platform natively, it doesn't ship.
Our engagement model is tied to measurable results — go-live dates, reconciliation accuracy, pipeline uptime. We don't sell hours. We sell compression. If our agents don't accelerate your timeline, you shouldn't pay for them. That's the commitment.
AI agents don't replace CTRM expertise — they amplify it. Our team stays involved at every engagement. When your project hits a decision point that only a human with fifteen years of Endur experience should make, that person is available. Agents handle the volume; practitioners handle the judgement.
If you are planning a CTRM implementation, upgrade, or transformation — we would like to show you what a different approach looks like.
