Matriq Studio pairs your domain expertise with our AI engineering to design, build, and ship custom agents — grounded in your context, live in your workflow.
Great agents need two kinds of expertise in the room at once. You bring the domain knowledge generic tools miss. We bring the hands-on experience to design, build, and ship agents that actually work in production.
Five places we typically start — yours might not be on this list, and that's fine.
Support and ops leaders lose hours a day routing tickets and re-explaining policy to new hires — while the real repeat-issue patterns stay invisible.
Triages and answers routine tickets grounded in your actual policies and past resolutions, and rolls up recurring root causes so your team fixes the pattern — not just the ticket.
Pipeline context and renewal signals live scattered across the CRM, product usage, and call notes — so reps walk in underprepared, and churn risk surfaces only at the renewal call.
Briefs reps with account context and next-best-action before every call, and flags renewal or upsell signals grounded in real usage — months before the contract date.
Marketing leaders can't answer what's actually driving pipeline without a manual pull from ad platforms, CRM, and analytics — by the time the report's ready, the campaign's over.
Automates ROI and campaign-performance reporting grounded in your ad platforms, CRM, and product analytics, and flags underperforming spend while the campaign is still live.
Data leaders are the bottleneck for every "can you pull..." request. Dashboards multiply but nobody fully trusts them, and ML use cases stall waiting on data plumbing.
Lets any team ask business questions in plain language, grounded in certified metrics — and packages the same context into ML-ready pipelines for scoring and forecasting use cases.
Product leaders can't easily see which features actually drive retention, and teams relitigate old roadmap calls because nobody can find why a decision was made.
Surfaces usage and adoption patterns grounded in real product data, and answers "have we considered this" by searching PRDs, specs, and past decisions.
We'll scope the agent, show you exactly what it's grounded in, and what it takes to ship.
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