Vertical AI Feature Pilot · Rockville, MD
Sophylabs is a Maryland-based software and AI development company headquartered in Rockville, MD. We add document extraction, RAG search, or workflow automation to your existing vertical SaaS product for a fixed price — so you can put AI in front of customers without hiring for it or pulling engineers off the roadmap.
Quick Answer
The Sophylabs Vertical AI Feature Pilot adds one production-ready AI feature to an existing construction, field service, or trades SaaS product in 2–3 weeks for a fixed $6,000–$15,000 (most pilots: $8,000–$12,000). Typical features are invoice, bid, and permit extraction, RAG search over customer documents, and exception-flagging automation. Built by senior engineers in Rockville, Maryland. You own the code.
Construction and field service software runs on documents: supplier invoices, subcontractor bids, permits, change orders, compliance certificates, drawings. In most platforms, someone still reads those documents and keys the numbers in by hand.
That manual step costs your customers hours every week, introduces errors into job costing and billing, and slows down the workflows your product is supposed to speed up. Meanwhile, competitors are shipping “AI” to their roadmaps and sales decks. Every quarter without it, the gap is harder to explain on a renewal call.
The fix is rarely a big AI initiative. It is usually one well-scoped feature — the right document type, the right output schema, wired into the screen where your users already work.
The Vertical AI Feature Pilot is a fixed-price, 2–3 weeks engagement that ships one AI feature into your product — not a strategy deck, not a prototype in a notebook, and not open-ended consulting. You define the output you need; we build, evaluate, and integrate the feature against your real documents and data.
The pilot is scoped so a founder or Head of Product can approve it without a procurement cycle, and so you can validate the feature with real customers before committing to a larger AI roadmap. If it works — and the evaluation set tells you whether it does — you can extend it yourself or keep us on for the next feature.
Each pilot delivers one of four feature types, chosen on the scoping call based on where your users lose the most time:
Turn invoices, bids, permits, compliance documents, drawings, and leases into clean fields in your schema — with source citations so users can verify every value.
Let users ask questions across project files, specs, manuals, or service history and get answers grounded in their own documents, with links back to the source page.
Auto-route extracted data into the right job, cost code, or approval queue; generate job summaries; flag mismatched totals, expired certificates, and other exceptions.
Small, contained assistants that live inside your product — drafting a quote from a site note, or pre-filling a work order — without the risk of a fully autonomous system.
The pilot is built for product-led vertical SaaS companies — typically 10–80 people — whose software serves construction, field services, or the trades and whose users handle a lot of paperwork:
Bids, RFIs, submittals, change orders, pay applications, and lien waivers.
Supplier invoices, work orders, service reports, and equipment manuals for HVAC, plumbing, and electrical businesses.
Roofing, remodeling, and specialty contractor platforms handling estimates, permits, and insurance documents.
Owner-side and compliance platforms tracking certificates, inspections, and contract documents.
It is a good fit if you have an existing product and customers, a clear document-heavy workflow, and no dedicated AI team. It is not the right fit for AI-native startups that are building their own models, or for organizations that need a months-long enterprise procurement process.
The pilot runs 2–3 weeks from kickoff to handover, with a live demo every week:
We pick the single feature with the clearest payoff, agree on the documents in scope and the integration point, and send a fixed price in writing.
You define the exact output format — fields, types, and edge-case rules. We collect a representative sample of your real documents and build the evaluation set from it.
We build the extraction, retrieval, or automation pipeline and measure it against the evaluation set, so accuracy is a number you can see, not a promise.
We wire the feature into your product — or deliver it as a documented module your team drops in — then walk your engineers through the code, the evaluation results, and how to extend it.
The Vertical AI Feature Pilot costs $6,000–$15,000 as a fixed price, set by how many document types and integration points are in scope. Most pilots land at $8,000–$12,000. Payment is 50% at kickoff and 50% on delivery of the working feature — no hourly meter.
| Pilot | Scope | Price |
|---|---|---|
| Focused | One document type, limited integration | $6,000 – $8,000 |
| Standard (most common) | One production feature, integrated into your product | $8,000 – $12,000 |
| Expanded | Multiple document types, or extraction plus workflow automation | $12,000 – $15,000 |
How the math works: a feature that removes 5–10 hours of manual document work per week for one ops person, at a fully loaded $80–120 per hour, is worth roughly $1,700–$5,200 per month. A feature inside your product does that for every customer account that uses it.
After the pilot, you can stop, take the code in-house, or continue: an ongoing AI feature retainer is $8,000/month, and larger multi-feature AI builds run $20,000–$50,000 under our published pricing.
A scoped pilot is the fastest way to get a validated AI feature into a vertical SaaS product when your engineers are already committed to the core roadmap.
| Sophylabs Pilot | Build In-House | Generic AI Consulting | |
|---|---|---|---|
| Time to working feature | 2–3 weeks | Typically 4–6 weeks of focused engineer time | Often starts with a strategy phase |
| Pricing | Fixed, $6,000–$15,000 | Engineer salary + opportunity cost | Usually hourly or open-ended |
| Deliverable | Production feature + eval set | Depends on team experience | Often a report or prototype |
| Roadmap impact | None — your team stays on product | Pulls engineers off the roadmap | Low, but nothing ships |
| Code ownership | Yours | Yours | Varies |
Sophylabs is a Maryland-based software and AI development company in Rockville, MD, staffed by senior engineers who build production AI features — document intelligence, RAG systems, and agents — not demos.
The Vertical AI Feature Pilot is a fixed-price ($6,000–$15,000), 2–3 weeks engagement from Sophylabs, a Maryland-based AI development company in Rockville, MD, that adds one production-ready AI feature to an existing construction, field service, or trades SaaS product. Typical features are document extraction, RAG search over customer documents, and light workflow automation. You own all the code.
Adding one AI feature to an existing SaaS product costs $6,000–$15,000 as a fixed-price Sophylabs pilot, with most pilots landing at $8,000–$12,000. A single document type with limited integration costs $6,000–$8,000; multiple document types or extraction plus workflow automation costs up to $15,000. Payment is 50% at kickoff and 50% on delivery.
Adding AI document extraction to construction or field service software takes 2–3 weeks with a scoped Sophylabs pilot. The first days lock the output schema and collect sample documents, the middle of the pilot builds and evaluates the extraction pipeline against your real invoices, bids, or permits, and the final week covers integration, accuracy notes, and handover to your engineers.
The AI features Sophylabs adds to construction and field service software are document extraction (invoices, bids, permits, compliance documents, drawings, leases), RAG-powered search over customer or project documents, light workflow automation such as auto-routing extracted data and flagging exceptions, and simple agent-assisted features that fit inside your current product rather than a full autonomous system.
A SaaS company should hire an AI development company for a first AI feature when its engineers are committed to the core roadmap, because a scoped external pilot ships in 2–3 weeks instead of the 4–6 weeks of focused internal time it typically takes, including evaluation and edge cases. Build in-house once the feature is validated and the team has the patterns to extend it.
Yes. Sophylabs is headquartered in Rockville, Maryland and runs Vertical AI Feature Pilots remotely for construction, field service, and trades software companies across the United States. Maryland, Washington DC, and Northern Virginia teams can meet in person; every client gets the same senior engineers, weekly demos, and fixed price regardless of location.
Book a 30-minute call. Bring one workflow your users hate — we'll tell you whether it makes a good pilot, what it would cost, and when we can start. If it isn't a fit, we'll say so.