Autonomous workers that survive audit
Agents scoped to a real business process, with inspectable retrieval, deterministic escalation and a human checkpoint wherever money or liability moves.
Enterprise AI & platform engineering
We have already run the systems you are trying to build.
Most outsourcing sells you capacity. We sell you judgment: principal-led delivery of production systems, scoped by people who have owned a P&L and a delivery organization, not a proposal.
Delivered by DaVinci
- 22%
- Reduction in
revenue leakage
- 12%
- Reduction in
route cost
- 11%
- Gain in warehouse
packing efficiency
- 3%
- Reduction in
cost per delivery
Wayfong — the largest Chinese food importer and distributor on the East Coast. DaVinci built the platform that runs their entire operation. Read the case study
Folio I — Position
Most outsourcing sells you capacity. We sell you judgment.
DaVinci Development has built software for United States clients since 2020. DaVinci Development AI is the arm we spun up for a specific reason: enterprises are now buying AI programs, and AI programs fail for reasons that have nothing to do with models.
They fail on data plumbing, on evaluation, on security review, on the seam between a demo and a system that carries revenue. Our principals have run those seams at Qualys, Rapid7, ConnectWise, Verint and TCS — at the scale where getting it wrong is a board-level event.
So we staff differently. Every engagement is anchored by a principal who has personally owned a P&L, a delivery org, or both. The delivery bench sits across the United States, India and Brazil, and it is ours — not a marketplace.
The firm is led by founder Thiago DeSouza, who holds ownership positions across a portfolio of operating companies built on software he commissioned. He sponsors every engagement personally.
Folio II — Experience our principals bring
Career-scale experience, attributed.
These are achievements our principals earned at prior employers, not DaVinci engagements. We keep the distinction visible because the buyers we want will check — and because it is the experience they are actually buying access to.
Swami Nathan
1,100+ engineers in a single global R&D organization, spanning software engineering, QE, SRE, data and DevOps.
SVP Engineering · Qualys
Swami Nathan
Product delivery for an enterprise cloud platform supporting $650M+ in ARR, with AI-driven detection across 100M+ active global assets.
SVP Engineering · Qualys
Swami Nathan
Built an India capability center from zero to 200+ people, including a 24×7 security operations center and a 26-person leadership tier.
VP & Country Manager · Rapid7
Meena Sivan
Data platforms scaled to 30M+ active users, and an automated credit engine that compressed lending from application to disbursement to 24–48 hours.
CDO & VP Engineering · Li Digital
Meena Sivan
99.99% system stability held through a 35% growth period, while doubling sprint velocity and carrying full site P&L.
GCC Head · Cogito / Verint
Suma Pillai
Site headcount scaled from 50 to 200+ in six months, across R&D, finance and HR, with the control frameworks to match.
Senior Operations Manager · Rapid7
Full career detail for each principal is on the About page.
Folio III — Selected work
Delivered by DaVinci, not by our résumés.
Named client · New York
Wayfong
The software that runs the entire operation of the East Coast’s largest Chinese food importer — purchasing, warehouse, dispatch and delivery, with a multi-agent AI layer above the operational core.
22% less revenue leakage
12% lower route cost
Read the case study
Under NDA · United States
12% lower route cost
LLM-assisted compliance review
A retrieval-grounded review layer for a tier-one bank’s financial crime team. Drafts the assessment, cites every source, escalates on deterministic rules, and never closes a case by itself.
Cleared model risk review
100% source-traceable
Read the case study
Under NDA · United Arab Emirates
100% source-traceable
Agentic port logistics
Yard allocation, carrier routing and exception handling for a sovereign ports and trade authority, running inside the existing terminal operating system with planner override at every decision.
One quarter in shadow mode
before any live decision
Read the case study
before any live decision
Folio IV — What we own
Six things we will take accountability for.
We take work where the hard part is engineering, not headcount. If a request is genuinely a staffing request, we will tell you and point you elsewhere.
The layer everything else depends on
Data lakes, ingestion, feature pipelines and model operations. Usually the real project once the diagnostic is done.
Systems that survive their own success
Legacy decomposition, cloud-native rebuilds, high-availability microservices, and migrations planned so the business never sits on a hard cutover.
Built to a product standard
Web, mobile and progressive web applications, integration layers and the internal tooling that operations actually run on.
Where AI programs usually stall
Threat modeling for LLM pipelines, governance frameworks, vulnerability telemetry and support through your own security review.
Built, operated, transferred
Entity, hiring, facilities, compliance and leadership bench — then a clean handover. You end up owning the center, not renting it.
Detail on each line is on the Services page.
Folio V — How delivery works
Diagnostic, architecture, build, transfer.
The same four phases on every engagement, in that order. Most production implementations begin in the low six figures; exact pricing follows discovery.
01
Diagnostic
A principal and a senior engineer assess your systems, data and constraints and return a written point of view: the real bottleneck, what we would build, what we would not, and where the schedule risk sits. Fixed fee, credited against the build.
1–3 weeks
02
Architecture & plan
Target architecture, integration map, security constraints, acceptance criteria and a staged delivery plan your own engineers can argue with.
2–4 weeks
03
Production build
Two-week sprints, a demo every sprint, working software in your environment from sprint two, a named technical lead and a principal sponsor throughout.
Sized at architecture
04
Launch, stabilize, transfer or operate
Deployment, monitoring, runbooks, training and a stabilization window where incidents are ours. Then managed support or full handover — decided at kickoff, not after.
Agreed at kickoff
Full method, standards and cost drivers on How we deliver.
Folio VI — Enterprise standards
Answers your procurement team will ask for anyway.
You own the code
Client-funded work, client-owned source and IP on payment, subject to the final agreement.
Your environment, your repos
We deploy into your cloud tenancy and work in your Git organization where required.
Documented handover
Architecture, runbooks and integration docs as deliverables with acceptance criteria.
Named accountability
A principal sponsor and technical lead by name, with role-level redundancy behind them.
Including AI data handling, access and secrets, security review and insurance — all on How we deliver.
Folio VII — Fit
What we turn down.
We would rather lose the deal in week one than the relationship in month nine.
Pure staff augmentation
If the request is a rate card and a headcount number with no engineering problem attached, a body shop will serve you better and cheaper. We will name one.
AI with no business case
If the project exists because the board asked what the AI strategy is, we will say so and propose the smaller thing that would actually pay for itself.
Fixed price on unknown scope
We will not quote a number before the diagnostic. Anyone who does is either guessing or pricing in the change orders they expect to bill you for.
References are available to qualified prospective clients, subject to client approval.
Including a direct conversation with an operating executive
at a named client, arranged once an NDA is in place.
at a named client, arranged once an NDA is in place.
Next step
Bring us the part of the roadmap you have already tried twice.
Send a short brief. You will get a written point of view from a principal — not a discovery call script — within two business days.