● now embedding · fixed-price sprints available
Your embedded AI engineering team.
We ship AI systems that actually run your business — in weeks, not quarters, with the same team from scoping to production. Same operating model the frontier labs use to embed FDEs at Fortune 500s. Priced for founders and mid-market teams.
The frontier labs are cutting Indian IT services out. We’re building the alternative — for founders who can’t wait a quarter and don’t have $500K to give Microsoft.
— Sumit Ghosh, founder
// how we work
The embedded model — four phases, one team.
We drop a senior engineer + a small pod into your Slack and your codebase. Same person from scoping to production. No offshore handoffs, no discovery-doc theatre.
Week 1–2
Co-design
Sit with your team, in your workflow. Map the systems, data, constraints, and the actual bottleneck — not the one you think you have.
Week 3–6
Build
Ship the first agent in 30 days. Working software in your stack, deployed to real users. Not a demo environment, not a slide deck.
Week 7–12
Deploy
Roll out at scale with guardrails, evals, monitoring. Your team learns the system as we go — we don’t create a black box.
Ongoing
Improve
Retainer or hand-off to your team. Weekly review of metrics, prompts, model choices — the AI landscape shifts monthly.
// engagement tiers
Three ways to bring us in.
Every engagement is led by a senior engineer who has shipped something you’ve heard of. No offshore handoffs.
// why not just hire microsoft frontier
Same embedded-engineering model. Priced so founders can afford it.
The frontier labs launched their own FDE arms this quarter — Microsoft Frontier, Google Cloud FDEs, Anthropic Solutions. All useful. All out of reach for anyone below Fortune 500.
Frontier lab FDE
$500k–$2M / year per FDE. Locked to a single model provider. 6–9 month enterprise sales cycle. Contract minimums start at $250k.
Globussoft.ai embedded pod
~1/10th the cost of a frontier-lab FDE program. Multi-model. Starts in 2 weeks.
What they optimize for
Lock-in to their model + cloud. Marquee logo. Slow, careful, procurement-friendly.
What we optimize for
Your P&L moving next month. Model portability. Founders who can’t wait a quarter.
// what we ship (and use ourselves)
Agents already running inside Globussoft.
We eat our own cooking. Below is the AI stack running our own business day-to-day — same team, same code, same playbook that gets embedded in yours.
Inbox intelligence
Runs · every 30 min + daily digest
Reads every INBOX message across your mailboxes, applies category labels, archives newsletter/news noise, and DMs a morning digest with the medium+high urgency items that actually need you.
Spam false-positive rescue
Runs · daily · 07:30 IST
Audits Gmail’s own SPAM folder for business emails wrongly flagged. Rescues 100+ misclassified messages per day across mailboxes without ever moving anything TO spam.
CRM audit + call list
Runs · daily · 10:00 IST
Cross-references your CRM pipeline with the subscription platform and produces a priority-ranked 100-lead daily call list per product line. Posts to the sales-team channel with owner assignments.
Customer chat monitor
Runs · every 15 min
Watches customer support conversations across WhatsApp, Telegram, and in-app chat. Flags silent threads, escalations, sentiment shifts, and unhappy customers before they churn.
Sales activity digest
Runs · daily · 20:00 IST
End-of-day rollup of what every rep did — calls, notes, deals moved. Posted to leadership Telegram with clear signals on who’s shipping and who needs coaching.
Executive briefing
Runs · daily · morning
Chief-of-staff agent that reads every other agent’s output, your calendar, priority queues, and open threads — delivers a single morning brief with the 3-5 things that need your attention today.
Outbound lead-gen campaign
On demand · plugin platform
Plugin-based outbound platform: finds leads via Apollo / RocketReach / Prospeo, verifies emails via NeverBounce, drafts personalized copy per prospect, sends via Gmail, tracks replies, syncs to CRM.
Web research reader
Continuous · agent tool
Keyless reader for Twitter, Reddit, YouTube, GitHub, and generic web with Playwright fallback for JS-heavy pages. Wired into research agents so competitor watches, trend scans, and morning briefs pull real live data.
Content pipeline watcher
Runs · daily · content ops
Monitors content-team channels for published, scheduled, and stalled work. Nudges owners on late items, celebrates ships, and gives editorial a live board without meetings.
More agents ship monthly — from voice callers to compliance monitors to churn predictors. Ask us what’s next.
// track record
40+products shipped
100M+users reached
300+engineers led
8OSS flagships
// systems in production
Shipped by the same team you’d get.
We eat our own cooking. Every embedded pod is staffed by engineers who have shipped these.
Chingari · social platform
100M+ users, AI-driven feed + moderation
Recommendation, safety, and creator-tools stack built by the same team you’d get.
100M+ users · 6yr operating
EmpMonitor · workforce SaaS
AI classification of activity, at scale
ML pipeline replacing thousands of hand-written rules. Live across enterprise customers.
Fortune 500 customers
PowerAdSpy · ad-intel SaaS
Multi-model ad classification
Vision + language models to categorize millions of ads across Meta / Google / TikTok.
10M+ ads / month indexed
// the team
Founders and senior engineers — not offshore body-shop.
Every embedded pod is led by an engineer who has shipped one of the products above. Sumit Ghosh is personally in every scoping call. No exceptions.
Founder
Sumit Ghosh
Chingari, EmpMonitor, PowerAdSpy, AdsGPT. 40+ products, 300+ engineers led. Every engagement.
Engineering lead
ML / infra pod
Recommender, vision, and evals stack. Built Chingari’s 100M+ user feed.
Engineering lead
Agents / LLM pod
Claude, GPT, Gemini, Qwen. Ships production agent frameworks.
Engineering lead
Front-end / UX pod
Ships surfaces users actually touch. Real analytics, real A/B, real conversion moves.
// what founders say
“In production 4 weeks after we signed.”
“Same team on scoping call and 4 weeks later on deployment call. That’s the whole product.”
CTO · SaaS company
“They picked the right model for the job — not the one they wanted to sell us. Rare.”
Head of AI · Fintech
“We stopped writing rules. The agent handled 78% of tickets by week 6.”
COO · e-commerce
Frequently asked.
How is this different from a dev agency or IT services company?
We embed senior AI engineers who own the outcome, not a fixed-scope statement of work. Same person from scoping to production. No offshore handoffs. And every engagement is led by a founder who has shipped 40+ products themselves.
Which AI models do you use?
Whichever is right for your problem. Claude, GPT, Gemini, and self-hosted Qwen are all on the table. We’re multi-model on purpose — pricing, latency, and quality all move.
How fast can you start?
Sprint engagements start in 2 weeks. Embedded pods in 4 weeks. Fractional CTO can start next week.
Do we own the code?
Yes. Full source, full IP transfer, no vendor lock-in. Included in every tier.
Where are you based?
India-headquartered, working across Asia, US and Europe. Overlapping hours with all major time zones.
// from the blog
How we think about building.
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