SaaS & Technology

For product and platform leaders at growth-stage software companies

Engineering capacity for teams shipping faster than they can support

Data platforms, integrations, internal tools and embedded engineers for technology companies scaling infrastructure.

B2B SaaSAI-native startupsdev-toolsvertical SaaS
Platform health · sprint velocity
Simulated

Connectors · retry + alert on silent failure

GitHubhealthy
Stripehealthy
Slackhealthy
Salesforcehealthy
Segmenthealthy
Intercomhealthy
Linearhealthy
Zendeskhealthy
Weekly active accounts+12%
product analytics · one layer
Internal-tools backlog41 open

burning down with an embedded engineer

Deploys · this week

  • api v2.14✓ green

Regression testing (Qualgent)

60× faster

Parsing accuracy (Saphira)

98.5%

Paged for a human

0

Onboarding to first PR

2 wk

A human approves every change the AI proposes.
Where it hurts

The four problems buyers bring us

  1. 01

    Scattered product analytics

    Usage, conversion and customer signals live in separate tools.

  2. 02

    Growing backlog

    Internal tools and integrations keep losing to customer-facing features.

  3. 03

    Silent integration failures

    Third-party APIs break without alerting and eat engineering bandwidth.

  4. 04

    Outdated internal tools

    Ops, support and sales run on spreadsheets and duct tape.

  • 60×

    Faster regression testing at Qualgent

    Qualgent case

  • 98.5%

    Parsing accuracy at Saphira.ai

    Saphira.ai case

  • 2

    YC companies served

  • 8 wk

    Platform delivery

Numbers link to the case study they come from.

What we build

What we ship for SaaS & technology

Data infrastructure, internal platforms, AI features, and engineering capacity for technology companies scaling past what off-the-shelf SaaS supports.

  • 01 AI does this

    Production data pipelines

    Real-time and batch pipelines connecting product, billing, CRM, and analytics — built for the scale your CFO is forecasting.

  • 02 AI does this

    AI features for your product

    Embedded LLM features (chat, summarization, search, classification) deployed inside your product with proper eval, cost, and observability.

  • 03

    Customer-facing analytics

    Reverse ETL, embedded dashboards, and customer-facing analytics built on your warehouse — productized, not bolted on.

  • 04

    Internal operations platforms

    Admin tools, billing operations consoles, support workbenches, and customer-success command centers.

  • 05

    Integration platforms

    Marketplace integrations, partner APIs, and webhook infrastructure that doesn't require a person to babysit.

  • 06

    Engineering team augmentation

    Senior engineers embedded with your team to ship faster without long hiring cycles or offshore quality gambles.

Compliance

Designed to pass review, not retrofitted after it

Audit trails, encryption and access controls are sprint-one work.

SOC 2 Type II

We architect systems to support clients pursuing or maintaining SOC 2 — audit trails, access controls, change management baked in.

Multi-tenant security

Strict tenant isolation, row-level security, and per-tenant encryption keys where the business demands.

GDPR & CCPA

Data subject rights, retention policies, and data residency controls built in for SaaS serving regulated markets.

ISO 27001

Engineering practices align with ISO 27001 expectations on access management, vendor risk, and incident response.

How it runs

Scope in a week, ship in sprints

Shadow mode, parallel run, staged cutover — and a rollback plan you'll hopefully never use.

Stage 01

SaaS discovery & scoping

We map your existing workflow, integrations with core saas systems, and regulatory constraints. Define success metrics and produce a written scope.

  • Workflow audit
  • System inventory
  • Compliance review
  • Success criteria
run.log · engagement
 

A human approves every change the AI proposes.

  • Stack we work in

    TypeScriptPythonGoNext.jsReactNode.js

  • Data & warehouse

    SnowflakeBigQueryDatabricksClickHousePostgresdbt

  • Streaming & events

    KafkaKinesisRedpandaTemporalConfluent Cloud
Case study
Data platformSeries B SaaS

A unified data platform for a high-growth SaaS company

Real-time ingestion from 15+ sources into a Snowflake warehouse, dbt models and executive dashboards with sub-200 ms queries.

2.4M

Records processed daily

Read the case
Services

What we bring to SaaS & technology

Questions

Before you email us

What SaaS & technology buyers ask first.

Yes — when there's product-market fit and the work warrants senior engineering. We don't take pre-PMF prototype work; we take production scaling and AI feature build-out.

Tell us the SaaS & technology workflow that hurts most.

A senior engineer who has shipped in your industry replies within 24 hours with scoping questions and a real timeline.

Talk to an engineer
See the case studies

  • 50+

    Production systems shipped

  • 97%

    Client retention

  • 4–8 wk

    Typical time to production

  • 24h

    Reply from a senior engineer