Inference compilation optimizer

Cut your cost per million tokens. Automatically.

Compile your entire model portfolio into optimized GPU inference engines. Sweep precision, batch sizes, and engine configs against every latency SLA.

ASTCHEM / OPTIMIZER Sample run
Cost per 1M tokens
$0.58 → $0.34
41%estimated savings
12configs tested
0.8%accuracy delta

Illustrative sample. Your benchmark will use your models.

The problem

Inference tuning is still a manual tax on every model.

01

Manual tuning is slow

Engineers spend days running trial-and-error benchmarks before launch.

02

Choices multiply quickly

Precision, batch sizes, memory, and engine settings interact in complex ways.

03

SLAs are easy to miss

Overly safe choices waste compute. Aggressive ones lose latency or quality.

04

Tuning never ends

Models, traffic, and hardware change. Your best setup changes with them.

The solution

One optimization loop for your whole model portfolio.

Astchem turns fragmented tuning work into a repeatable system that finds the best production configuration for every model.

↗

Automatic sweeps

Test precision, batching, and engine configurations without manual effort.

⌁

SLA-aware decisions

Reject candidates that miss your latency or throughput targets before they reach production.

✓

Accuracy-checked

Validate quality after optimization so speed never comes at the cost of correctness.

How it works

From model upload to optimized engine in six steps.

01

Connect

Link your model registry or upload models.

02

Define SLAs

Set latency, accuracy, and target hardware goals.

03

Profile

Build a baseline from real model behavior.

04

Sweep

Test precision, batching, and engine configs.

05

Validate

Check latency and accuracy against thresholds.

06

Deliver

Receive the best engine and savings report.

Product surface

Everything your optimization team needs.

01

Portfolio Optimizer

Compile every model in one run. Save weeks of engineering time.

02

SLA Engine

Enforce p50 and p99 targets. Make performance predictable.

03

Precision Sweeper

Test FP16, INT8, and FP4 per model. Find the right tradeoff.

04

Accuracy Guardrails

Check quality after optimization. Ship with confidence.

05

Cost Dashboard

See cost per million tokens before and after. Prove ROI.

06

API and CI/CD

Re-run automatically on model updates. Stay optimized.

Competitive view

More than a toolkit. An optimization system.

CapabilityAstchemManual tuningGeneric platformsQuantization toolkits
Portfolio-level automation✓✗~✗
SLA-aware selection✓~~✗
Cost per 1M token objective✓✗✗✗
Accuracy guardrails✓~~~
Continuous re-optimization✓✗~✗
Who it’s for

Built for teams where inference is a budget line.

If you run multiple production models, Astchem helps your engineers focus on product—not endless tuning.

✦AI-native startupsFast teams, high GPU bills.
⌁SaaS companiesAI features at scale.
▦Enterprise ML teamsMany models, strict SLAs.
◈GPU cloud providersOptimized customer workloads.
Pricing

Start with a benchmark. Scale with savings.

Starter

$499

per benchmark run

  • Up to 3 models
  • One target hardware profile
  • Benchmark report
Contact us

Enterprise

Custom

built around your fleet

  • Unlimited models
  • Private deployment options
  • Dedicated support and SLAs
Contact us
Roadmap

From MVP to a continuous optimization platform.

Phase 01 · MVP

0–3 months

Core model compilation, basic sweeps, and first benchmarks.

Phase 02 · Beta

3–6 months

FP4 / INT8 guardrails, dashboard, and SLA engine.

Phase 03 · Launch

6–12 months

Multi-GPU, CI/CD integration, and public API.

Phase 04 · Scale

12+ months

Continuous re-optimization and enterprise edition.

The team

The people building Astchem.

Book a free benchmark of your top 3 models.

Start the conversation ↗
Contact

Let’s find your fastest path to lower inference costs.

Share a few details and the Astchem team will follow up with the next step.

Astchem Technologies Private Limited
41/B/4, Ramanath Das Rd, Kolkata, West Bengal 700031, India

[email protected]
[email protected]
+91 98300 45821

CIN: U19209WB2023PTC266423 · Incorporated November 2023