Inference Implementation Partner

We help you win deals that are blocked by cost, latency, customization, or GPU availability.
In 3–5 days your lead will start using a custom model deployed on your infrastructure.

Our Value Proposition

  1. 01

    Unlock stuck deals in days

    When a company wants a custom fine-tuned model but lacks the training data or know-how to get started today, distil labs steps in with free solution engineering and delivers a first production-ready model in days, not quarters.

  2. 02

    Migrate from serverless to dedicated endpoints

    When a customer requires higher throughput, better reliability or lower latency, but the cost of self-hosting an LLM doesn't cover the ROI, we train a custom small model to make the business case much stronger. Dedicated deployment benefits, without the large GPU cluster costs.

  3. 03

    Monetize small-GPU capacity

    Smaller models can run efficiently on small GPUs, helping partners turn underutilized capacity into revenue while preserving scarce large-GPU capacity for workloads that truly need it.

  4. 04

    Amplify inference savings with SLMs

    Moving from mid-tier closed-source to an open-source model that matches accuracy often doesn't produce compelling enough cost savings or delivers sufficiently good latency. By distilling to a smaller, faster model, we make the business case dramatically stronger.

  5. 05

    Manage the full custom model lifecycle

    The customer doesn't need to hire a team to start fine-tuning models. We abstract away the entire complexity, so the customer just needs to exchange the API endpoint: model training, deployment, and optimizing the endpoint are all handled.

How We Sell Together

Engagement Model

You own the customer relationship — we are here to support securing the deal.

When you spot a deal that's stalling, needs an extra push, or has a use case that could benefit from model optimization — pull us in. We work best when deals are partially scoped and the customer's priorities are understood.

Pull distil labs in when a lead says:

  • “The current model is becoming too expensive…”
  • “Latency is too high, …”
  • “We need to move off of your serverless endpoint because…”
  • “We want to fine-tune, but…”
  • “We want to move to a dedicated endpoint, but…”
  • “Our current model is being deprecated, so…”
  • “We are thinking about trying out open-source models”
  • “We tried open-source, but quality was not good enough.”
  • “We like the responses of model X, but need the speed/cost of model Y”
  • “Once we hire an MLE, …”
  • “We are not sure the ROI justifies moving this to production.”
  • “We want to reduce dependency on OpenAI/Anthropic…”

What We Need From You

  • Motivation of the lead (what triggered the conversation)
  • Descriptions of use cases
  • Monthly spend / volume of requests
  • Current model in production and anything they've tried before
  • Latency requirements and any other acceptance criteria, evaluation protocol
  • What milestones they have that determine timeline/urgency
  • Org mapping: who are the decision-makers, technical counterparts and influencers

Process

  1. 01

    You introduce us to a lead and invite them to a call between all 3 parties

  2. 02

    We scope out a good use case to get started with and create a shared Slack channel

  3. 03

    The lead shares model traces with us

  4. 04

    We provide an analysis of the model traces and evaluation of their current model (1 day)

  5. 05

    We train a custom model for them using our knowledge distillation platform (1–2 days)

  6. 06

    We evaluate the trained model & provide the endpoint for testing (1 day)

  7. 07

    Customer tests the model endpoint (that we create on your infrastructure)

  8. 08

    Customer moves full traffic to the new endpoint (we manage the endpoint & make sure it works well)

What We Own

We take full ownership of the optimization process — timelines, deliverables, and communication with the customer. The prospect should feel like they're working with a team that's done this many times and knows exactly what to expect at each stage. We'll keep you in the loop at every stage so the prospect sees us as a unified team.

Ramp-Up

Crawl

1–3 test leads to validate the handover process and prove our value.

Walk

Expand to a steady pipeline of qualified leads with joint account planning.

Run

Co-marketing: joint events, dinners at conferences, shared content, common target lists.

Ready to unlock your next deal?

Get in touch and we'll walk through your pipeline together.