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AI Services · US-Based

AI systems that rearchitect how you operate.

Altor is an AI services company. We identify the workflows where AI can create measurable impact, then build and deploy the systems — live in production, not demo. Starting with your highest-cost manual process.

Founded by ex-Microsoft AI Research · IIT Delhi Computer Science
Every system we build is in production. Not demo.
100%production success rate
3 wkstypical time to production
45→2 minimpact at Portkey

Systems we connect to

ClickHouseLinearStripeGitHubStatusPagePagerDutyMintlifyZendesk+ custom API
Read-only by default
Encrypted in transit
No model training

The problem

Most AI never reaches production. We build systems that do.

The industry AI failure rate is 95%. Not because the models are bad — because the systems around them are wrong. Point solutions layered on broken processes. Demos that never ship. Vendors who hand off code and disappear.

We don't layer AI on existing processes. We rearchitect the processes themselves — then stay until the system is in production, delivering measurable impact.

Your engineers spend hours per ticket manually querying systems that machines can query in seconds

Your AI pilots are in demo environments, not production — 95% of enterprise AI projects never ship

Your team lacks the time to identify which workflows AI can actually transform, let alone build them

Your existing vendors build around your current processes instead of redesigning them

How we work

Forward-deployed. Outcome-aligned. Production-grade.

01

Production AI Systems

We build AI systems that connect to your existing infrastructure and reason over live data — not systems that search docs or generate generic answers. Every system we deploy is in production, not demo.

02

Forward Deployment

We don't hand off code and disappear. We embed alongside your team — mapping your stack, connecting your systems, building the playbooks. You own the outcome. We own the path to get there.

03

Weeks to Production

Most AI projects take months to reach production. We scope the right problem first, then move from audit to live system in 3 weeks. Portkey's investigation engine was live in 14 days.

04

Self-Improving Systems

The systems we build get smarter with use. Investigation playbooks refine against real data. After 200 tickets at Portkey, 80% of investigation logic was reusable across ticket types — without retraining.

Week 1

Audit

We map your stack, identify the highest-cost manual workflow, and define what "production" looks like for your team.

Week 2

Build & connect

Read-only integrations live. First investigations running on real data from your systems. No synthetic test cases.

Weeks 3–4

Tune & hand over

System logic refined against actual data patterns. Your team trained. Median impact measured and benchmarked.

"Altor diagnosed in 2 minutes what used to take our engineers 45 minutes of copying data between tabs. Nobody else could even attempt to answer them automatically."
Engineering Lead·Portkey

Who we work with

B2B engineering teams with high-cost manual workflows.

We work best with companies that have a clear, high-volume process costing real money — and the engineering foundation (logs, APIs, production data) to connect to. We are not a good fit for companies wanting incremental improvement or a SaaS tool.

AI infrastructure and gateway companies

Every customer ticket is a multi-system investigation. You have the logs. Your team shouldn't be running them manually.

API-first developer tools

SDK errors, webhook failures, and latency spikes require live data from 4–6 systems. That's our exact capability.

Data and analytics platforms

Pipeline failures and query issues live in your logs. Altor reads them, not your engineers.

Companies wanting a SaaS tool to self-configure

We are a services company. We build, deploy, and maintain. If you want software to deploy yourself, we are not the right fit.

Get started

Tell us about the workflow you want to rearchitect.

We'll ask you about the workflow, the systems involved, and the cost of the current process. If it's a fit, we'll scope an engagement and be in production within 3 weeks.