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Pre-built capability stacks to get you live faster—with measurable outcomes and enterprise guardrails. Each accelerator distills the tooling, infrastructure, and playbooks we have refined across dozens of production launches.
Instead of starting from a blank canvas, you inherit hardened integrations, evaluation workflows, and compliance-ready configurations. We tailor the last mile to your processes so your team sees value in weeks while still owning the roadmap.
Launching net-new AI capabilities usually requires stitching together voice infrastructure, inference providers, realtime analytics, and governance controls before you can even pilot an experience. Our accelerators bring a composed stack so your energy goes toward crafting the right customer journey and training domain-specific behaviour—not wiring up basics.
We adapt each accelerator through discovery sessions with your stakeholders. Together we map user flows, data contracts, and KPI expectations. That allows us to right-size the implementation, decide where custom engineering versus configuration is needed, and establish a rollout plan with clear stages of validation, launch, and continuous improvement.
Spin up natural, on-brand voice agents with enterprise-ready telephony, CRM syncing, sentiment analytics, and live hand-offs. Our voice stack includes evaluation harnesses for scripted and open-ended calls, tools to design conversational personas, and dashboards that highlight conversion, containment, and escalation metrics for every campaign.
When control, privacy, or cost predictability matter, we help you run open-weight models tuned to your domain. The accelerator covers infrastructure automation, retrieval pipelines, guardrails, and fine-tuning workflows so you can host models in your VPC or on-premises while keeping the developer experience approachable for your internal teams.
A complete evaluation workbench with regression suites, policy checks, and CI gates. You get curated gold datasets, customizable rubrics, and automated reporting so model owners, product managers, and compliance teams have a shared view of quality. Integrations with Slack, Jira, and incident tooling keep the feedback loop tight.