100+ PROJECTS DELIVERED SINCE 2019HELLO@DATASPECC.COM
Production, not pilotsThree AI products of our own, live

Most AI projects never reach production. Ours are already running.

Senior engineers who build and operate their own AI products. Staff them into your team from $3,000 a month, or hand us the problem.

Two ways to work with usSame senior bench
01 · STAFF AUGMENTATION
Engineers into your existing team
AESenior AI / LLM engineerAgents, retrieval, evals · 8 yrsIN YOUR SPRINT
MKSenior full-stack engineerTypeScript, Postgres, AWS · 9 yrsIN YOUR SPRINT
PMDelivery PMOwns scope, cadence, Friday statusIN YOUR SPRINT
02 · CUSTOM AI BUILDOUTS
Hand us the problem end to end
Agent layer
Multi-step, tool-using
Eval suite
Bar agreed before launch
Guardrails
Human approval on money
Audit trail
Every action, replayable
$3,000
Per engineer, per month
~2 wks
To first merged commit
100+
Projects since 2019
100+projects delivered since 2019
3AI products of our own, live
production rate vs internal builds
12 daysmedian time to first merged PR
Products we run · clients we deliver for
CardClan logoCardClanHyperengage logoHyperengageHyprcore.ai logoHyprcore.aiSociali.ai logoSociali.aiDextego logoDextegoContentStudio logoContentStudioFrederick Fox logoFrederick Fox
Verification & standardsRead our eval methodology
Claude Partner Network logoClaude Partner NetworkPARTNER
OpenAI Partner Network logoOpenAI Partner NetworkPARTNER
4.6GOOGLE REVIEWS
ISO 42001IN PROGRESS
The production gap

The market isn’t short of pilots. It’s short of things that shipped.

So we don't sell pilots. Evals, guardrails and an audit trail ship with release one — not after the first incident.

95%of GenAI pilots returned nothing measurableMIT NANDA
42%of companies abandoned most AI work in 2025S&P Global
40%+of agentic projects forecast cancelled by 2027Gartner
11–17%have anything agentic truly production-gradeDeloitte · Forrester
And the same research says this

External AI builds reach production twice as often as internal ones.

We are the external team.

Vendor-partnered or purchased AI~67%
Internally built AI~33%
Share of AI initiatives reaching production · MIT NANDA, corroborated by Deloitte 2026
Case studies

Our products and our clients’, built by the same bench.

Hyprcore is ours: we carry its tickets, uptime and P&L. Dextego, Sociali.ai and Frederick Fox are clients. The engineers we staff into your team built all four. All case studies

Hyprcore.ai logoHyprcore.aiOur product · in market

A desktop AI notetaker that runs on the user's own machine

Dictation, meeting recording and scheduled agent routines for Mac and Windows. Transcription runs on-device on 17 speech models, and everything the app knows stays in a folder of Markdown files on the user's disk.

Rust logoRustTauri 2 logoTauri 2React 19 logoReact 19ONNX Runtime logoONNX RuntimeAnthropic Claude logoAnthropic ClaudeSupabase logoSupabase
1,000+users on Mac and Windows
5.0★★★★★across 15+ reviews
17on-device speech models
Read the case study
Hyprcore home screen: workspace sidebar, this week's meetings and a Start a meeting action
Dextego's Tego coach showing a buyer's compatibility score, email preferences, communication traits and what to do and avoid
Dextego logoDextegoClient build · AI sales coaching

An AI sales coach that sits in every call

A full AI sales-coaching platform: live in-call guidance, roleplay with voice coaches, buyer profiling and post-call scorecards, across a web app, API, Chrome extension and desktop app.

Next.js logoNext.jsNestJS logoNestJSMastra logoMastraOpenAI logoOpenAIRecall.ai logoRecall.aiSupabase logoSupabase
4surfaces: web, API, extension, desktop
5AI coach agents in production
4languages shipped
Read the case study
Sociali.ai home: brand profile, AI social media strategy progress, connected channels, all-brands overview and content pipeline
Sociali.ai logoSociali.aiClient build · managed pod

Social media on autopilot for brands with a hundred locations

An AI social media platform for agencies and multi-brand organisations: a month of on-brand posts planned, designed, approved and published across six networks. Built app and AI end to end by one managed pod.

Next.js logoNext.jsSupabase logoSupabaseInngest logoInngestLangGraph logoLangGraphOpenAI logoOpenAIGoogle Gemini logoGoogle Gemini
5person pod: PM, 2 full-stack, AI, QA
6social networks published to
~800automated test files
Read the case study
Over the years, though, we've just developed so much trust… they almost feel like business partners… I hope to be in business with these guys forever.
William Spengler · Founder, Frederick Fox
Frederick Fox logoFrederick FoxClient since 2020 · Ruby

Ruby: the platform a recruitment firm runs on

Commissions, P&L reporting, analytics and AI-generated leads in one internal platform, used by 100+ recruiters at a multi-million-dollar recruitment firm.

100+recruiters using Ruby
6 yrsworking together, since 2020
4back-office jobs Ruby automates
Read the case study
Why us

Four things a competitor would have to actually do to copy.

01

Production, not pilots

Evals, guardrails and an audit trail ship with release one.

Ask any vendor for their eval suite. Most cannot produce one.

02

We ship our own

CardClan, Hyperengage and Hyprcore.ai are ours — tickets, uptime and P&L included.

3 products of our own, run by the bench we staff to you.

03

Judgment on top of tooling

AI raises the ceiling for engineers who know what good looks like, and the blast radius for everyone else.

A 2025 METR trial found seniors 19% slower with AI while feeling 20% faster.

04

Operator economics

A third of a US hire, a third of a marketplace rate, published openly.

One invoice, 30 days notice, first commit in about two weeks.

Services

Two engagement models. One bar for talent.

Most teams start with one or two embedded developers, then move to a managed pod once the scope outgrows their internal PM capacity. You can switch models mid-engagement with 30 days' notice.

Staff augmentationMin. 3 months

AI-enabled dev resources

Senior developers who join your standups, your repo and your review process — and who already work with LLMs, agents and AI tooling every day.

  • Senior-only, vetted in code by our own staff engineers.
  • Agents, retrieval and evals are their daily work.
  • Four hours of overlap with your day, in your standups.
  • You interview everyone. Wrong fit, replaced free in two weeks.
From $3,000/month
per dedicated senior developer
View details
Managed deliveryMin. 3 months

Managed teams with a PM

You bring the problem. We bring engineers, a project manager, a delivery plan and a single point of accountability for shipping it.

  • A PM accountable for scope, cadence and the Friday status.
  • Fortnightly sprints, weekly demo, a roadmap you sign off first.
  • One contract, one invoice, one escalation path.
  • Scales three to eight people without renegotiating.
From $10,000/month
3-person pod incl. project manager
View details
Or we build it

Don’t want to staff it? We deliver the product.

Two delivery offerings alongside the staffing models: agent implementation inside your existing operation, and full custom AI product builds. Fixed scope, fixed milestones, your IP.

CORE OFFERING6–10 weeks typical

Custom AI agents implementation

We map how your team actually works using our own in-house software, find the workflows worth automating, then build and deploy the agents that run them.

  • Our in-house software maps your real workflows before anyone writes code.
  • We rank candidate workflows by hours returned and risk, and you pick.
  • Agents built against your systems — CRM, ATS, finance, ticketing, email.
  • Monitoring, evals and a human-in-the-loop path for anything consequential.
Workflow mapping first
Paid discovery, credited against the build
View details
Fixed scopeQuoted per milestone

Custom AI software development

A whole AI product built end to end — discovery, architecture, build, evaluation harness and handover. The Sociali.ai platform and Frederick Fox’s Ruby were both built this way.

  • Scope and architecturea technical plan, cost model and risk list you can take to your board
  • End-to-end buildfrontend, backend, model layer and infrastructure against fixed milestones
  • Agents, RAG and evalsretrieval, tool-using agents and the eval harness that keeps them honest
  • Your IP, your repodocumented codebase, runbooks and an optional support retainer
From $20k
first release, after paid discovery
View details
Client testimonial

Dextego's founder on working with our engineers

Ioanna describes the team working as an extension of Dextego's own product team — collaborating with their in-house group on both product development and the delivery of new features, across tactical and strategic engineering, testing included.

IO
Ioanna Mantzouridou OnasiCo-founder & CEO, Dextego
0:37 · LOOM
Pricing

Fixed monthly. No hourly surprises.

All prices are per calendar month, billed in advance, minimum three months. Includes recruitment, replacement cover, equipment and payroll — one invoice.

Dedicated seniorMOST CHOSEN

One embedded senior engineer inside your existing team and process.

$3,000/mo
Full-time, minimum 3 months
  • One senior full-stack, data or platform engineer
  • Full-time on your board and standups
  • 4+ hours daily timezone overlap
  • You interview and approve every hire
  • Free replacement in the first two weeks
Request profiles
AI / ML specialist

An engineer whose daily work is agents, retrieval and evals.

$3,500/mo
Specialisation premium, published
  • Agents, RAG, eval and serving infrastructure
  • Writes the eval suite, not just the prompt
  • Has shipped model-driven features to production
  • Reviews your existing AI code on arrival
  • Free replacement in the first two weeks
Request profiles
Managed team

A delivery unit with a PM accountable for shipping the scope.

$10,000/mo
3 people incl. delivery PM, scales to 8
  • Senior engineers plus a delivery PM
  • Roadmap, sprint cadence and demos
  • Written Friday status and burn-up
  • QA and release management included
  • Single point of accountability
Scope a team
A senior US full-stack hire$180k+ / yearBefore recruiting fees, equipment and roughly four months of searching.
A talent marketplace$17k–$35k / moThird-party estimate. No published rate card, and no delivery accountability — you get a resume, not an outcome.
Dataspecc$3,000 / moPublished, one invoice, first commit in about two weeks. A named owner and an eval suite on anything model-driven.

Agents & customAgents start with a $2,000 workflow discovery, credited against the build; implementation runs $5k–$10k per workflow set. Fixed-scope AI product builds start from $20k for a first release.

See all pricing
How it starts

From first call to first commit in two weeks.

No RFP theatre. One scoping call, profiles within three days, your interviews, then onboarding.

STEP 01Day 0

Scoping call with an engineer

Thirty minutes on the role or the scope, the stack and the constraints. No discovery deck.

STEP 02Day 3

Profiles and rates

Two to four matched seniors with real code samples, availability and a fixed monthly rate.

STEP 03Day 4–8

Your interviews

You run your own loop. Technical, cultural, whatever your bar is — we do not gate it.

STEP 04Day 10–14

Onboarding and first commit

Contracts, access, environment. Most engineers merge their first PR inside two weeks of the call.

Also from Dataspecc

AI automation for operations teams

Our original practice — workflow automation, document processing and internal copilots for finance, healthcare and logistics operators.

See automation work
Production, not pilots

Have a problem?
Let's ship the fix.

Next step

Tell us the gap. We'll tell you the fastest way to close it.

A 30-minute call with an engineer, not a salesperson. Bring the role or the scope; you'll leave knowing the shape, the rate and the start date.

  • You interview every engineer before they start
  • Free replacement if the fit is wrong in two weeks
  • Fixed monthly price, 30 days notice, no exit fee
What do you need?
We reply within one business day. No sequences, no drip.