Services · Lacewing Technologies

We build AI agents
that go into production.

Six service lines, all delivered as working software you own. Every engagement is scoped and priced in writing before a line of code is written.

DaysTo a working prototype
FixedPrice agreed up front
100%Code ownership, yours
pipeline / your-systemRUNNING
SOURCEYour data SOURCEYour tools SOURCEYour docs OUTPUTYour appLIVE
RetrievalGrounded answers
GuardrailsChecked output
MonitoringCost and errors
Service lines

Six ways we put AI to work

Pick the one closest to your problem. Most engagements end up combining two or three.

01

AI agents & automation

Software that performs a repeated business task from end to end, wired into the tools your team already uses. It reads, decides, acts and logs what it did, so the work happens whether or not anyone is watching.

Support & inbox triageResearchDocument processingBack-office workflowsScheduled runs
02

LLM applications & copilots

Chat and assistant interfaces built on your own content, with retrieval, guardrails and evaluation in place from day one. Not a demo that impresses — an assistant your team trusts enough to use on a Monday.

Private document retrievalAnswer citationAccuracy testingWeb, mobile or in-app
03

Web, SaaS & mobile apps

Complete products, from architecture to launch, on web and mobile — including the unglamorous parts: accounts, billing, admin tooling and analytics.

Web appsiOS & AndroidCross-platformSubscriptionsStore submission
04

Data & RAG pipelines

The plumbing that makes AI answers correct: ingestion, cleaning, chunking, embedding, and a refresh schedule so answers stay current.

EmbeddingsVector storageSync jobsSource tracing
05

AI content systems

Detection, rewriting and generation at scale — the same engines behind our own TextSight, HumanFlow and Truthring products, built for your workflow.

AI-text detectionHumanizationVoice detectionAPIs
06

Deployment, integration & ops

Getting it live and keeping it healthy — cloud deployment, CI, monitoring, model routing and the cost controls that stop a good system becoming an expensive one. This is the part most AI projects skip, and it is why most of them quietly stop working.

Cloud & CIAPI integrationAlerts & loggingModel routingCost controlHandover docs
Engagement models

Three ways to hire us

Pricing depends on scope and is confirmed in a written quotation before work starts. No hourly meter runs in the background.

Prototype sprint

A short build to prove an idea works at all, delivered in days. If you continue, the code carries into the full build.

Best for testing an idea before committing
Timeline days, not weeks
Billing fixed price, paid at start

Fixed-scope project

A defined deliverable with a fixed price and a delivery date, built in short cycles you can review as it goes.

Best for a first build or a bounded piece of work
Timeline typically a few weeks
Billing advance to begin, balance on delivery

Monthly engagement

Continuous development, improvements and support on a live system, with a standing block of our time each month.

Best for products that keep evolving
Timeline ongoing, 30 days notice
Billing monthly in advance

Payment terms: invoices are issued in USD, GBP or INR and settled by bank transfer. Quotations are valid for 30 days. Full terms are in our Terms of Service and Refund & Cancellation Policy.

Delivery

From first call to launch

Four steps. You know what happens next at every point.

01

Discovery call

Thirty minutes on the problem, the data available and what a good outcome looks like. Free, no obligation.

02

Written proposal

Scope, deliverables, timeline and fixed price in writing. Nothing is built until you approve it.

03

Build & review

Development in short cycles with a working version you can use and comment on at each step.

04

Launch & handover

Deployment to your infrastructure, documentation and a support window. Ongoing support optional.

Get a scope and a price

Tell us what you need built. You will get a written proposal, or an honest note that it is not something we should take on.