FDE Deployments
Real engagements. Real enterprise customers. See how our Forward Deployed Engineers embed with AI companies and ship the integrations, production systems, and customer relationships that turn pilots into revenue.
Why AI companies choose our FDEs
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Your Brand, Our Engineers
Our FDEs embed with your enterprise customers, operate under your brand, and own outcomes end-to-end. Scope. Build. Ship. Stay.
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Platform to Production
From core platform (Cohere Toolkit to North) to forward deployments at Microsoft, Oracle, and Slack. Full lifecycle. No hand-offs.
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Multi-Year Trust
Every engagement below is ongoing. Ship early, expand scope, grow trust. Tenstorrent's VP of Engineering calls us first.
Built the open-source toolkit that became Cohere's core product, then forward deployed to integrate their models at Microsoft, Oracle, and Slack.
Platform: Toolkit to North
Built the Cohere OSS Toolkit, the deployment framework for Cohere's LLM apps. It grew into North, Cohere's core enterprise product today. Owned from architecture through production.
Slack Integration
Integrated Cohere's LLM into Slack: RAG-powered document search, web research, and thread summarization as a native experience. Announced at Dreamforce 2024. Scoped, built, shipped.
Microsoft Azure
Integrated Command R and Embed models into Azure AI Foundry. Generation, embedding, and reranking alongside OpenAI and Meta models. Embed V3 with Azure AI Search: 4x memory savings, ~30% speed improvement.
Oracle Cloud
Integrated Cohere's models into OCI's Generative AI service. 100+ GenAI use cases across Fusion Cloud and NetSuite.
100+ Data Connectors
Built 100+ quick start connectors linking Cohere's AI with enterprise data (Google Drive, Salesforce, Confluence, and more). Fast path from "we want AI" to "our data is connected."
Deploying autonomous AI workflow agents to banks and credit unions with Saris AI. Financial services is the #1 vertical for FDE work, and Saris sits at the center: automating lending, compliance, and back-office operations for institutions from credit unions to G-SIB banks.
The Integration Wall in Banking
Banks want AI. But their workflows span loan origination (MeridianLink, Encompass), document management (Hyland), core banking (Fiserv), and layers of compliance (SOC2, GLBA, GDPR). Getting AI agents to work across all of it with full audit trails is exactly the integration wall FDEs exist to break through.
What We're Shipping
Full FDE lifecycle: learn how lending operations actually work on the ground, build integrations connecting Saris's AI agents to legacy banking infrastructure, deploy production systems that automate multi-step workflows with human oversight.
Results
Saris AI's customers have seen 300% productivity increases and significant cost reductions per automated workflow. Financial services is where FDE work has the highest stakes and the highest impact.
Lights On team has bailed me out several times by being able to hop in and augment our teams with some really solid technical contributions around infrastructure, build environments, projects where we prototyped some AI training frameworks. ... we've had great success with getting skilled folks joining and being productive from day one.
Embedded with Tenstorrent's engineering teams to build developer tooling their hardware customers depend on. The other side of FDE work: sometimes you deploy to the end customer, sometimes you embed with the product team itself.
AI Visualization Suite
Three production tools: TT-NN Visualizer, Model Explorer, and Route UI. Model graphs, memory usage, performance metrics for developers optimizing on Tenstorrent silicon.
Datastreams (Observability)
Identified the need, owned it from architecture through deployment. Real-time infrastructure monitoring and anomaly detection. Embedded engineers uncover problems that ticket queues never surface.
AI Superset Assistant + DevOps
Natural language querying for data exploration. CI/CD pipelines, Docker releases, automated docs.
Multi-year engagement, growing scope. Our FDEs are still embedded with Tenstorrent.