Engineering since March 2006 · India + USA

Bring AI deep into the systems you’ve already built.

We integrate AI into your CRM, email marketing, support, and document workflows — without rip-and-replace and without consultant theatre. Twenty years of production engineering, applied to what you already run.

20 yearsengineering in production
2 continentsdelivery from India & USA
30-day modelprove value before scaling

SOC 2 Type 1 in progress GDPR-ready DPA 20 years in production Stanford, CA + Visakhapatnam, IN

Where AI delivers ROI fast

The integrations our clients ask for first.

CRM

AI inside your CRM

Lead scoring, deal-risk signals, summarised activity, next-best-action — native to HubSpot, Salesforce, Zoho, or custom.

See how
EMAIL

AI email marketing

Subject-line generation, audience segmentation, send-time prediction, on-brand copy at scale — without losing your voice.

See how
SUPPORT

AI support agents

Tier-1 triage, ticket classification, knowledge-base answering, intelligent escalation — with humans firmly in the loop.

See how
DOCS

Document intelligence

Contract review, invoice parsing, PDF data extraction, classification at scale — trained on YOUR documents, not the open web.

See how

Our deepest work

AI inside the CRM you already pay for.

We’re shipping AI integrations live in HubSpot and Salesforce environments today — not slideware, not pilots. The patterns below are battle-tested in production:

  • Predictive lead scoring trained on your conversion history, not generic ICP
  • Conversation summarisation that survives a sales rep turnover
  • Deal-risk early warnings from call notes, emails, and activity decay
  • Next-best-action prompts written directly into the CRM UI your team already uses
crm.lead.enrich({
  id:       "lead_8821",
  signals:  [activity, email, call_notes],
  model:    "ues-score-v4"
})

→ score: 87 / 100 (high)
→ summary: 3-line activity digest
→ next_action: schedule_call
→ risk_flag: response_decay (4d)

Live · interactive · zero setup

Watch our agents at work.

Pick the kind of work you want AI to do for you. Each example runs the actual pattern we deploy for clients — lead scoring, ticket triage, document summary, email generation.

UES Agent Console LIVE

Pick a workload above to see the agent respond.

Who this is for

If you have revenue but no AI yet, we’re built for you.

  • You run a real business — CRM, email, support, ops — and you know AI should be helping by now
  • You’ve seen vendor demos that don’t survive contact with your actual data
  • You don’t want to rip out the tools your team finally adopted
  • You want an integration partner who’s shipped this before — not a learner billing you while they figure it out
  • You want to start small, see proof, then scale — not sign a six-figure pilot on faith

How we work

Thirty days to proof. Then we scale.

DAYS 01 — 07

Map your AI surface area

We sit with your team, audit your CRM, email, support, and document flows, and identify the three integrations that will move the needle this quarter.

DAYS 08 — 21

Ship one in production

One integration goes live for one team. Real data. Real users. Real metrics. Not a demo — the actual workflow improvement you came for.

DAYS 22 — 30

Decide together

Measured outcome. Honest report. If it’s not delivering, we tell you. If it is, we plan the next three integrations on a schedule that fits your team.

H

Founder

Built by an engineer with a law degree.

The founder of UES has 25 years of production engineering and a BA + LLB. In an era when every AI deal goes through legal review, that combination is the difference between a stalled procurement and a signed contract.

Meet the founder →

2006·

Founded — March 2006

20+

Years engineering in production

30·

Day proof-of-value model

2·

Continents · delivery from IN & US

Our principles

Engineering-first. Outcome-paid. Honest where it counts.

No rip-and-replace

Your team picked HubSpot, Zendesk, Mailchimp for a reason. We integrate AI alongside, not on top of a graveyard.

Production from day one

Every agent we ship has observability, audit logs, cost monitoring and rollback — before the first user touches it.

You own the data & the model choice

Your data stays where you put it. Model choice (Claude, GPT, open-source, on-prem) is yours, with our recommendation.

Honest cost ceilings

AI token costs can spiral. We build hard caps, fallbacks and budget alerts into every system. No surprise bills.

Built to hand back

We document, train, and walk away cleanly. Your engineers can take over — we’re not building a dependency.

Twenty years of judgement

AI is new. Engineering discipline isn’t. We bring two decades of production software practice to a domain where most vendors don’t have two years.

Proof of work

Three integrations, redacted but real.

Every name protected under NDA. Every metric measured. Reference calls arranged after a mutual NDA.

CASE 01

Publishing · 40-person editorial team

Peer-review triage time cut 67% across 14 journals. Zero rollbacks in 8 months.

Read the case →
CASE 02

US B2B SaaS · $32M ARR

HubSpot AI lead scoring outperformed manual SDR ranking by 2.3×. $1.1M attributed in quarter 1.

Read the case →
CASE 03

E-commerce email · UK + EU

Subject-line generation lifted open rates 24% across 1.4M monthly sends. Zero compliance violations.

Read the case →

Questions we get

Honest answers from the engineering team.

Do you replace our existing CRM or email tool?

No. We integrate AI capability into the platform your team already uses — HubSpot, Salesforce, Zoho, Mailchimp, Klaviyo, Zendesk, Intercom, or custom. Your data, your UI, your team’s muscle memory. AI runs underneath.

What does the 30-day proof-of-value cost?

It’s a fixed-scope engagement priced after the first call — we look at your stack, the integration we’re proposing, and your data shape. Most engagements fall in a range typical of one senior engineer for one month. We tell you the number before we start, and we don’t go over it.

Where does our data go? Do you train on it?

Your data stays in your environment. We deploy into your cloud (AWS / Azure / GCP) or use no-retention API endpoints from major providers. We do not train on your data, do not aggregate it, do not share it. You own everything. We sign whatever DPA your legal team needs.

How do you control AI token costs?

Every system we ship has per-request budgets, daily caps, caching for repeat queries, model-tier routing (cheap models for easy work, premium for hard), and budget alerts. Cost runaway is the most common AI-project failure — we engineer against it from day one.

What if we don’t know what to build yet?

Most clients don’t when we start. The first week of the 30-day engagement is exactly that — we sit with your operators, watch the work, and recommend the three highest-leverage AI integrations for your specific business. You decide which one to ship first.

Where can I see proof of work?

Our case studies page documents three anonymized integrations with full metrics. Client names are protected under NDA, but we’ll arrange a live reference call once we’ve signed mutual NDAs.

Are you compliant with GDPR / the EU AI Act?

Yes. The founder’s legal background means governance is built into every engagement — DPAs, SCCs, audit logs, data residency, EU AI Act classification. Our governance page documents the defaults.

Worth a 30-minute call.

Tell us your stack. We’ll tell you where AI moves the needle and where it doesn’t. No deck. Just engineering judgement.