Get to market fast with embedded AI engineers.
Build faster with hands-on support from shipping to scaling, with i2’s inference experts working inside your team.
Inference is our forward deployed engineers’ whole job.
Accelerate time to market
Our embedded engineers help architect your system, pick and scope the routes that fit your workload, and harden what you ship. The first production request is weeks out, not quarters.
Get inference-specific expertise
They spend all of their time on inference: routing, batching, caching, context budgets, cost per token. Not generalists borrowed from another team between other projects.
Keep it reliable in production
Per-key spend caps, rate limits, latency and error monitoring set up with you rather than after the first incident. Sovereign infrastructure, and a name to call when something moves.
Most teams do not need to hire an inference team. They need one person who has already solved this, sitting close enough to the problem to see it.
Hands-on engineering support, from proof of concept to scale.
- 01
Build
Your engineer works as an extension of your team to define the latency, throughput and cost-per-request targets you actually need to hit, and writes them down, so there is something to measure against.
- 02
Execute
Apply the optimisations to your workload on the i2 inference stack. No black boxes: you keep the code, the prompts and the evaluation harness, and you can read every routing decision.
- 03
Scale
Keep applying new work from the open-model research community as it lands, so your cost per token keeps falling after launch instead of drifting upward with your traffic.
Engagements are month to month. If the work is done, it is done. We would rather you stop paying a retainer than keep one running out of inertia.
Pick the depth of support, not a headcount.
Every engagement is a monthly retainer in PKR, billed alongside your inference usage and scoped to the work in front of you. Tell us what you are building and we will quote it.
Embedded
Part-timeIn PKR, quoted per engagement
A named engineer alongside your team for integration and launch. The right shape for a first production workload.
- Named engineer, shared Slack channel
- Weekly working session and async review
- Integration, routing and key setup
- Cost and latency baseline for your workload
Dedicated
Full-timeIn PKR, quoted per engagement
An engineer inside your sprints and on your codebase, through launch and the scale-up after it.
- Everything in Embedded
- In your standups and your repository
- On call for your launches
- Ongoing optimisation as new open models land
- Quarterly architecture review
Enterprise
A teamIn PKR, quoted per engagement
Multiple engineers, a joint on-call rotation, and the paperwork your procurement team needs.
- Everything in Dedicated
- Multiple engineers across workloads
- Joint on-call rotation and escalation path
- Written SLA and security review
- Data residency and compliance documentation
We love AI, but it’s nice to talk to a human.
Build your product on the most performant infrastructure available in the region, powered by the i2 inference stack. Deploy and serve open models fast, scalably and cost-efficiently, on sovereign compute and billed in rupees.
Tell us what you are building and we will put the right engineer in front of you. Usually within one working day.
Prefer email? Write to info@intelligentinference.ai.