Agents that
actually ship.

We're an India-based AI dev studio building bespoke Claude-powered agents that run your operations end-to-end. Top 1% engineers, from first call to live in production in 14 days.

14dAvg. time to prod
100+Agents shipped
Avg. throughput lift
70%Cost savings
agent/ops-autopilot · live
01
Receive requestemail · slack · form · API webhook
1.0s
02
Gather contextyour CRM · databases · docs · third-party APIs
0.5s
03
Reason & decideclaude sonnet 4.5 · multi-step · policy-aware
1.2s
04
Take actionupdate systems · draft replies · trigger workflows
1.2s
05
Close the looplog · notify · learn from outcome
0.6s
output →invoice reconciled · 3 line items matched · variance $0.00 · approved
Answer customer emails 24/7Qualify leads while you sleepReconcile invoices automaticallyOnboard new users in secondsChase unpaid invoices politelyRoute support tickets to the right teamTurn Slack messages into actionWrite first-draft proposalsKeep your CRM tidy, foreverAnswer customer emails 24/7Qualify leads while you sleepReconcile invoices automaticallyOnboard new users in secondsChase unpaid invoices politelyRoute support tickets to the right teamTurn Slack messages into actionWrite first-draft proposalsKeep your CRM tidy, forever
02 / Use cases

Not another chatbot. A coworker that closes tickets.

support 01

Tier-1 support triage

Drafts, classifies and resolves 70% of inbound tickets before a human ever sees them. Refunds, order lookups, policy Qs.

ZendeskStripeShopify
sales 02

Outbound research & outreach

Scrapes signals, builds ICP lists, writes the first-touch email that actually sounds like you, books the meeting.

ApolloLinkedInGmail
ops 03

Back-office automation

Reconciles invoices, chases approvals, updates the spreadsheet nobody wants to update. Runs quietly in Slack.

QuickbooksNotionSlack
engineering 04

Dev copilots

Code review agents, SRE pager triage, docs-that-write-themselves. Your senior engineers stop being a help desk.

GitHubLinearPagerDuty
research 05

Deep research agents

Spins up a research analyst on-demand. Reads 40 PDFs, interviews 3 APIs, returns a memo with citations.

ExaArxivS3
internal 06

Your internal tools

That clunky admin panel nobody uses? Replace it with natural language. ‘Refund order 8821 and email the customer.’ Done.

Your DBYour APIYour rules
healthcare 07

Patient intake & triage

HIPAA-friendly agents that book appointments, chase pre-auths, explain insurance EOBs, and draft clinical summaries — so your staff stops drowning in paperwork.

EpicAthenaTwilio
ecommerce 08

Storefront concierge

Recommends products from your catalog, answers shipping questions, handles returns, recovers abandoned carts — on your site, WhatsApp, or Instagram DM.

ShopifyKlaviyoWhatsApp
real estate 09

Listings & lead follow-up

Qualifies inbound leads at 2am, schedules showings, drafts offer memos, and keeps every prospect warm until you close. Your best agent, cloned.

MLSHubSpotDocuSign
03 / Process

Two weeks. One agent. Zero fluff.

01

Map the workflow

We shadow your team for a day. Find the repetitive, high-volume, high-judgment work. Pick the one agent that moves the needle.

02

Build the agent

Claude as the brain, your tools as hands. Tight prompts, evals from day one, guardrails baked in. Not a prototype — production.

03

Pressure-test

We run it against a month of real tickets, synthetic edge cases, and adversarial prompts. Score accuracy. Iterate. Repeat.

04

Ship & watch

Deploy to your infra. Dashboards, alerts, and a feedback loop. We don't leave until it's saving you hours every day.

HIGH-VALUE · HIGH-VOLUME
04 / Capabilities

What a proper agent can do. Yes, all of it.

TL
Tool use

Any API, any MCP server, any SQL db. If it has an interface, the agent can drive it.

MEM
Long memory

Vector memory + structured state so your agent actually remembers the last 40 conversations.

MA
Multi-agent

Orchestrator + specialists. Parallel work. Debate-and-synthesize for judgment calls.

EV
Evals baked in

Every agent ships with a test suite. Regressions caught before your customers find them.

GR
Guardrails

Input filters, output validation, tool-call policy, refusal patterns. Not an afterthought.

OB
Observable

Every thought, tool call and token logged. Replay any run. Audit trail your legal team will love.

HIL
Human-in-loop

When confidence drops, the agent asks. Routes to Slack, email, or your queue with full context.

Self-improving

Feedback loops that actually feed back. Prompts update weekly from real outcomes, not vibes.

05 / Live demo

Give it a task. Watch it think.

agent/ops-copilot · sandbox
Press "Run agent" to see it reason through the task →
06 / Trusted by

Teams that move fast ship with us.

arcadia
NORTH/LAB
volta
meridian & co
uPerform
HALCYON
parallax
FIELDWORK
roam
AXIOM 88
07 / Voices

Founders who stopped doing the boring work.

They shipped an agent in 11 days that now handles 68% of our support queue. My team finally gets to do actual work again.
p
Priya NairCo-founder · Loomline (YC W24)
We tried three consultancies before inference91. The others sent slides. These guys sent a pull request on day two.
m
Marcus EbertCTO · Kestrel Health
Our outbound agent books more meetings than the two SDRs we replaced. Payback in six weeks. I keep waiting for the catch.
a
Ayaan ShahFounder · Northwind Realty
07 / Questions

Frequently asked.

Why Claude specifically?

Because it's the most reliable model in production for agentic work — long context, strong tool use, honest about uncertainty. We've shipped on other models and Claude wins on the 'does it actually work when it matters' axis. That said: we're not married to it. If your workload is better served elsewhere, we'll tell you.

How is this different from just hiring a dev to call an API?

A call to an API is a chatbot. An agent is a system: prompts, tools, memory, evals, guardrails, observability, retry logic, and a feedback loop. We've built this muscle 40+ times. You'll save 6 months of trial and error.

What if our data is sensitive?

We deploy to your cloud. Claude can run via AWS Bedrock, GCP Vertex, or direct Anthropic with zero-retention. No data ever trains a model. SOC2-friendly setup is default.

Do you work with non-technical teams?

Yes — in fact, most of our best work ends up being used by non-technical teams. We handle the engineering, you get a Slack bot, a dashboard, or an email inbox that just... works.

What happens after the sprint?

You own everything — code, prompts, infra. Most clients go Embedded for the first 3 months to let us keep the flywheel spinning. Some take it in-house immediately. Either's fine.

How do I know it's not hallucinating?

Evals. Every agent has a test suite of real cases with expected outcomes. Confidence thresholds route low-certainty calls to humans. We publish accuracy dashboards. You'll know before your customers do.

08 / Origin

Why 91?

+91 · India · founding line
91
i.

India is a pool of exceptional engineers

Every year, thousands of graduates pour out of the IITs, IIITs, BITS and NITs. We hire from the top 1% — senior engineers who were building production ML before "LLM" was a word anyone used at parties.

ii.

Priced for founders, not for procurement

A US agency would charge 3× for the same work. We don't, because we don't carry their overhead. Your budget goes into engineering, not Manhattan rent.

iii.

Your timezone, covered

Overlap hours with SF, NY, London and Singapore — on purpose. Your agents don't sleep, and neither does our response window when production breaks.

Now taking new projects

Let's ship
your first agent.

30-minute discovery call. We'll scope a sprint on the spot and tell you honestly if it's a fit. No sales deck.