Your GCC for AI — set up like a product, owned like a team.

Memory, Voice, and Agents on our secure stack, built by a tight team of engineers across the US and India. No long ramp, no vendor lock — capability you own from week one.

Trusted by teams shipping in production

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Our thesis

Everyone is replacing engineers with AI. We're doing the opposite.

So we run your capability center differently: a small bench of state-of-the-art engineers, working as your team, armed with the best tools — including AI and our own stack. You get owned, accountable capacity that ships securely in production, not a vendor that hands off a demo.

01

Humans own the outcome

Engineers design, review, and stand behind every system we ship. Accountability has a name, not a model version.

02

AI is leverage, not labor

We use AI the way great engineers use any tool — to move faster. It never ships to production unreviewed.

03

Secure because humans check

Every agent action runs inside our stack: logged, auditable, and verified by a person before it matters.

The engagement

An embedded GCC, not an agency

You don't hire us for a project — you stand up a capability center you own. A dedicated small pod becomes part of your org, lowering cost while keeping security and compliance built in from day one.

01

Scope

We map the work, the data, and the compliance surface — then size a tight team and the stack pieces (Memory, Voice, Agents) that fit your goals.

02

Embed

A dedicated pod plugs into your workflows from the US and India. Your team, on our payroll and our stack — not a vendor you file tickets with.

03

Build secure

We ship on Vector Trust by default: code-level review, audit trails, and human sign-off baked into every release — not bolted on later.

04

Scale & save

You get engineering capacity at a fraction of onshore cost, with security and compliance posture built in as you grow.

Security & compliance

Compliance posture that reads your code — and a human who reviews it.

Most compliance tools check policies and collect screenshots. Our stack goes a layer deeper — analyzing the code itself for HIPAA, PCI, and PII data-flow risk, from cloud down to memory. We don't issue certifications; we give you the evidence and the engineers to stand behind it.

Code-level evidence, not screenshots

Our stack reads your actual code and data flows — tracing how sensitive data (PHI, PCI, PII) moves through the system. Real evidence, not a policy doc and a folder of screenshots.

Continuous, not point-in-time

Compliance posture is checked on every change, not once a year before an audit. Issues surface the moment they appear, mapped to the requirement they touch.

Encrypted, auditable trails

Every finding is stored as a durable, encrypted, reproducible record — an evidence trail your security team and auditors can actually follow from source to sink.

A human signs off

Our stack does the analysis at depth and speed; engineers review and adjudicate every finding before it counts. The machine proposes — a person decides.

Capabilities span the frameworks that matter — HIPAA, PCI-DSS, and internal standards. We provide the analysis and human review; formal certification stays with your auditor.

Customer stories

In production, in their words

The pod shipped voice agents into production in six weeks. They ran inside our VPC, an engineer was on every issue, and our security review was the smoothest we’ve had.

VP

VP Engineering

Healthtech, USA

Vector Memory replaced three tools we were stitching together. We stopped maintaining retrieval glue code and got back to building product.

CF

Co-founder

AI SaaS, EU

What sold us was the audit trail. Every agent action is logged and a human signs off where money is involved — our auditors accepted the evidence without a fight.

HO

Head of Operations

Fintech, India

Quotes are real and unattributed by request. References available during evaluation.

<300ms

Memory recall latency

~600ms

Voice turn latency

US + India

Live, serving worldwide

100%

Findings human-reviewed