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Daler Trading, institutional cryptocurrency market maker

Scale a 24/7 desk without scaling the team

Daler Trading, an institutional-grade cryptocurrency market maker operating across 30+ exchanges, wanted to scale support, compliance and sales without proportional staffing growth. Moterra delivered a Rapid AI Assessment covering readiness, use cases, model selection, architecture and risk in a heavily regulated, round-the-clock environment.

Client Daler Trading Sector Financial services - crypto market making Scale Institutional market maker across 30+ exchanges Solution AI Consulting - Rapid AI Assessment
What they got
Three models tested On financial-services tasks Claude 4 Sonnet, Nova Pro and Nova Lite compared on financial reasoning, regulatory-compliance understanding, document processing and cost per query.
Working sandbox From day one Support automation, KYC compliance processing and sales operations prototyped inside Moterra Business AI Suite during the engagement.
24/7-ready architecture Built for regulated crypto Serverless AWS with Amazon Bedrock at the core, blueprints for 30+ exchange APIs, financial-grade security controls and a full risk matrix.
01

The situation

Daler Trading operates as an institutional-grade algorithmic market maker across 30+ cryptocurrency exchanges, providing liquidity and sophisticated trading strategies in a fast-moving, 24/7 regulated environment. Growth was hitting a familiar ceiling: customer support, KYC compliance and sales operations were all constrained by manual processes that scaled linearly with team size, not with market opportunity.

02

What they needed

An evidence-based view of where generative AI could unlock scale without compromising compliance.

Which foundation model can reason about financial and regulatory content at institutional standards?Where does AI create the most leverage - 24/7 support, KYC document processing, or sales operations?What does a resilient architecture look like when integrated with 30+ exchange APIs?How do we maintain regulatory adherence and audit trails at every step?
03

What Moterra delivered

A Rapid AI Assessment scoped to Daler Trading’s context, with regulatory context treated as a benchmark criterion rather than a caveat.

Executive engagement and readiness reviewDirect engagement with leadership plus a full organisational AI readiness review.
Use case prioritisationCustomer support operations, KYC compliance processing and sales operations automation.
Data assessmentAcross trading data, support tickets, KYC documents and CRM records.
Comparative model benchmarkingOn financial-services tasks, with particular attention to reasoning capability, regulatory-context understanding and document processing.
Solution architecture on AWSAmazon Bedrock, Textract-based document processing, 30+ exchange API integrations and financial-grade security controls.
Risk matrixRegulatory compliance, model accuracy, adoption and integration complexity.

Throughout the engagement, Daler Trading had access to Moterra Business AI Suite as a working sandbox, used to prototype and validate the core use cases against real operational data.

04

The outcome

Daler Trading’s leadership got a defensible AI operations plan - model choice, phased sequencing across support, KYC and sales, architecture, and risk mitigations - designed to scale a regulated 24/7 business without scaling the team.

Why sequencing matters

In a regulated 24/7 business, the order of adoption is the risk decision. Support first, KYC second, sales third - each gate clearing before the next opens.

Next step

Bring the hardest questions to the first call.

Thirty minutes, a live demo, and a quote for your environment.

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