AI development company · Agents · Data · Cloud · Security
The senior team companies bring in when growth, a new product, a platform rebuild or an exit has to land. AI is one of our tools. The outcome is the job, scoped and priced before we start.
10+ years · 40+ clients · SOC 2 Type II · HIPAA-experienced · WatchGuard Gold Partner · SF Bay Area + Mumbai
Question 1 of 7
What kind of business are you?
Select all that apply.
What we're hired to land
AI is one of our tools. These are the jobs companies bring us in to finish.
Our clients
From venture-backed startups to household logos, a decade of production systems delivered, and still running.
Financial Services, Insurance & Legal
High Tech, Software & Manufacturing
Healthcare & Life Sciences
Travel, Transport & Retail
Public Sector & Utilities
Where we work most
Philips · Stryker · R1 · a venture-backed digital health platform · health plans
Platform engineering and 24×7 HIPAA-grade operations, remote patient monitoring, CMS compliance and predictive analytics on clinical data.
Coinbase (BRD) · Capify · Leader Bank · Park National Bank · Arculus
Consumer wallet engineering, onboarding and KYC automation, reconciliation with audit trails, and governed API layers on banking cores.
Woodruff Sawyer · DealerPolicy · Innoveo
Claims and underwriting workflow automation, document intelligence, and modernization of the systems those workflows run on.
Also in production for teams in semiconductor test, defense manufacturing, robotics, airlines and cruise lines, B2B media, public safety and legal.
Agents and copilots that do real work, with approval gates, audit logs and cost control from day one.
Selected workMicrosoft
Starts withSprint Zero · 3–4 weeks
Every AI system is a data system first. We build the pipelines, retrieval and training data each workload needs.
Selected workPredictive analytics for healthcare outcomes
Starts withArchitecture, Data & Security Review · free
The whole stack, wherever it has to run, private cloud, on-prem DGX, Azure, Google Cloud, AWS or hybrid.
Selected workAmerican Airlines
Starts withAI Platform Blueprint · fixed fee
From sensor to model to decision, telemetry, edge inference and the software around autonomous systems.
Selected workNimble.ai
Starts withSprint Zero · 3–4 weeks
Built to pass an enterprise review, shipped at startup speed.
Selected workR1
Starts withAgent-Ready Platform & Pipelines · fixed fee per phase
Tokenized assets and digital wallets built to pass a bank's review, by the team that engineered wallet features for BRD before its acquisition by Coinbase.
Selected workCoinbase (BRD wallet)
Starts withTokenization Opportunity Review · free
Explore Blockchain, Tokenization & Digital WalletsEnterprise controls without enterprise overhead, in your pipelines, around your agents.
PartnerWatchGuard Gold
Selected workLive supply-chain attack contained
Starts withToken & Secrets Exposure Scan · free
Data, by design
Most AI programs stall on data, not models: the pipeline that was never built, the retrieval that was never tuned, the training set nobody can reproduce, the storage bill nobody forecast. So every Periscope build carries the six data decisions below, scoped to the workload in front of us, not to a data-lake program that ends before the first agent ships.
Inventory, quality, access paths and lineage for the sources the first workload actually needs, then remediation with a fixed scope.
In an AI build this decides whether the pilot runs on real data in week one or on a sample forever.
Batch and streaming ingestion, schema contracts, backfills and replay, built so throughput grows with workloads, not with headcount.
Decides whether the second and tenth use cases reuse the same plumbing or start over.
Hot, warm and cold tiers with retention rules; vector and hybrid retrieval tuned and evaluated against your own questions.
Decides retrieval quality, latency and the storage line on the bill, designed up front rather than discovered in production.
Curated, versioned datasets with labeling workflows and eval sets you can rerun, the prerequisite for cost-efficient fine-tuning and honest accuracy numbers.
Decides whether you can ever tell a good model from a lucky demo.
Storage, compute and token cost telemetry per workload; routing and caching policies; capacity planning for GPUs on-prem or in the cloud.
Decides the unit economics of every agent, and whether finance signs off on scaling it.
Classification, access control, PII handling, residency and audit trails, the boundaries that determine where a model may run and what it may see.
Decides private cloud, on-prem DGX, public or hybrid, sovereignty as a routing rule, not a separate project.
How it shows up in the work
Opens with a readiness pass on the data the workload needs and closes with the pipeline, retrieval and eval decisions written down.
Includes the data architecture, retention tiers, training-data strategy and a storage-plus-token cost model.
Reports data freshness, retrieval quality and data, compute and token cost in its monthly evidence report.
How to start
Every engagement begins with something bounded. You see the shape, the price and the success criteria before anything starts, and you can stop at any phase boundary.
Free · 3 minutes · self-serve
Seven questions, an instant readiness score and your three fastest wins. The full map by email if you want it.
Get your scoreFree · 90 minutes with a senior engineer
We map your workflows to the AI use cases worth doing first, scored by value and effort. You keep the map, whatever you decide.
Book the auditFree · about a week · read-only access
A read-only review of your cloud, data estate, AI platform and API surface for readiness, cost, reliability and security exposure, returned as a prioritized findings list.
Request a reviewFree · about a week · read-only
Every personal access token, API key, service account and agent credential across your repos, CI, cloud and SaaS, how old, how broad, when last used, and where it leaks. Returned as a ranked exposure list with a rotation plan.
Request a scanFrom $25,000 · typically 3–4 weeks
A working prototype on your real data, opening with a readiness pass on that data, with success criteria agreed on day one. Ends with a go / no-go and a scoped plan for production.
Scope a sprintFrom $18,000 / month · month to month
A senior US lead plus two to four engineers in Mumbai, with our agent toolkit and delivery standards. Ramps in typically two to three weeks.
Design a podFixed fee · scoped to your estate · typically 3 weeks
A target architecture for your whole AI stack, private, on-prem, public or hybrid, with the data architecture, model routing, storage-plus-token cost model, security boundaries and a phased build plan your board can approve.
Scope a blueprintFixed fee · per team · implementation + training
We implement secure pipelines, controls and tooling in your environment and train your engineers to run them, so the capability stays when we leave.
Plan an enablementFixed fee per phase · scoped per environment
Code review and audit, build pipelines for humans and agents across every environment, cloud workloads sized for agent and API traffic, and governance for the endpoints and non-human identities arriving from shadow IT, third-party systems, SaaS tools and open source, with supply-chain controls built into the pipelines.
Review our platformFixed fee per target · typically 2–3 weeks
Buy-side or investor-side: architecture, code and pipeline quality, security posture, data estate and run-rate, returned as the report a deal team and a board can act on.
Scope a diligenceFixed fee · scoped per company
What an acquirer's diligence will find, fixed before they find it, security and compliance evidence, platform run-rate, documentation, or the carve-out plan for the systems, data and licenses that leave with a spin-off.
Plan the readinessScoped per system · operations from $5,000 / month
Production builds run in bounded phases with a go / no-go at each. Then we operate what we built, agents, platforms and security monitoring, with a monthly evidence report.
Talk to an engineerStarting prices cover typical scope; every engagement is quoted fixed before it begins, usually within two business days of a scoping call. We run a small number of sprints and pilots at a time and will confirm the next available start.
Selected Work
Five-plus years building and operating the production platform for a digital health company spun out of a major health system, HIPAA-grade operations, continuous delivery, and a US + Mumbai team running as one.
5+ yrs
in continuous production
Clinical and operational data unified into prediction models that surfaced at-risk patients earlier and reduced avoidable utilization.
Earlier intervention
on high-risk patient cohorts
A developer's personal access token was abused to push commits carrying malware built to scan code and artifacts, mine crypto and encrypt files for extortion. Tracked, detected, contained and remediated, then every token, key and agent credential in reach rotated, scoped down and put under monitoring.
Contained
credentials rotated, scoped and monitored
Product and application engineering for Nimble, the AI-robotics fulfillment company, customer-facing and internal software shipped at the pace of a robotics roadmap.
AI + robotics
product engineering partner
Wallet extensions for BRD, the self-custody crypto wallet later acquired by Coinbase, consumer-grade product engineering where a defect is a headline, not a ticket.
Acquired
by Coinbase after our engagement
End-to-end platform: device ingestion, alerting and clinician workflows, launched and operated with a monitored device fleet, on the US + Mumbai delivery model.
24/7
monitored device fleet in production
Also in production for teams in semiconductor test, defense manufacturing, robotics, airlines and cruise lines, insurance brokerage, B2B media, public safety, connected health and legal, much of it running on tools built in our lab.
New & Notable
For a commercial law firm, we automated new-matter intake, extraction, keyword qualification, AI enrichment, email verification and Salesforce conflict checks, with a person in control at every step.
Read more
For an enterprise hospital system, we built a Provider Data Management platform, centralizing provider, department and care-unit data with a real-time operational data grid and a modular, scalable architecture.
Read more
For a digital-health startup, we built a healthcare Global Capability Center with IoT and AI, real-time streaming, predictive insights and multi-EHR integration, cutting alert response time 60% and readmissions 25%.
Read more.jpg)
Built in our lab
Live tools, built for our clients and for ourselves. The agent building blocks we use for client work are the same ones running our own operations, so engagements start from something that already runs, not a blank page.
01AI infrastructure
The platform
The agent platform underneath our client work: one place to build, run and govern agents, wherever the models run — private cloud, on-prem DGX, public cloud or hybrid.
Build once. Run and govern agents wherever your models run.
Deployment environments
Governed across the full stack
02AI-powered growth
Runs Periscope's own pipeline
We help companies build and automate their sales and marketing workflows with AI and agentic technology: prospect research, enrichment, outreach drafting and nurture, with a human approval on every send.
03Real-world AI solutions
Voice-first connected care for ageing parents
Vivotal is a voice-first care app that brings families, caregivers and physicians into one secure Care Circle. A parent presses one button and talks in Hindi, English or their own language; Vivotal remembers what matters, sends gentle daily updates in the app or on WhatsApp, and quietly alerts the right person if a check-in is missed. It works with the smartwatches people already own, is HIPAA and SOC 2 aligned, and deletes original audio within 30 days.
Provider directory validation for CMS compliance
PDI Checker keeps provider directory data accurate for Medicare Advantage, Medicaid and ACA health plans, provider groups, MSOs and health systems. It merges credentialing, enrollment, claims and directory data into one golden record per provider, validates it against NPPES and state licensing sources, submits changes to CMS and payers inside the 30-day window, and keeps the audit trail behind the executive HPMS attestation.
Ready-to-run AI agents for sales and growth
Hybri AI Studio delivers complete AI agents, not toolkits. The Cold Outbound Sales, Speed-to-Lead and LinkedIn Prospecting agents each run a full workflow, from signal-based research and verified contacts to a seven-touch email, LinkedIn and WhatsApp sequence, with a live KPI dashboard and a human handoff on every reply. It deploys on managed cloud, in your own VPC or on a private NVIDIA DGX.
Privilege-aware legal AI platform
VaultMind is the AI work surface for litigators, built behind the privilege wall. Lawyers draft, summarize, review and search matters with frontier-class models, while personal data is tokenized before inference and restored after. When a matter demands it, inference runs self-hosted or fully air-gapped inside the firm, with privilege-aware access controls and a complete audit trail.
04Ongoing AI intelligence
A new best practice every day, live industry news linked to the original source, and a free AI Maturity Check for teams already running AI.
Best practice of the day
Agents running on a shared service account or a person's credentials are invisible in audit logs and impossible to revoke cleanly. Treat each agent like a workload identity.
Read today's practiceLive news
AI Maturity Check
The Opportunity Score above shows where AI could pay off. This one measures what you already run. Seven quick questions, about three minutes: pick ranges and tick the tools and models you use.
Why Periscope
Most teams choosing between a global SI and a string of freelancers are choosing between a year of process and a pile of unowned code. Periscope is the third option: an AI lab that ships its own products, wired to a senior delivery team that has operated production systems for a decade.
Accelerators we've already built. People who've already made the mistakes. Every phase scoped, priced and agreed before it begins, so you always know what you're buying and can stop at any phase boundary, and the board sees the evidence monthly.
10+ yrs
building and operating production systems for enterprise and healthcare clients
40+
clients served across eight industry verticals, from growth companies to household logos
SOC 2
Type II certified operations, audited annually · HIPAA-experienced teams · WatchGuard Gold Partner
2 hubs
SF Bay Area + Mumbai GCC, one team, follow-the-sun delivery
How we compare
| Global SI | Freelancers & small shops | Periscope | |
|---|---|---|---|
| Who does the work | A rotating bench behind a partner | Whoever answered the ad | The senior engineers who scoped it, US-led with Mumbai |
| Time to first result | Quarters | Unpredictable | Weeks, Sprint Zero in 3–4 |
| Pricing | Time & materials, opaque | Hourly | Published “from” prices, fixed per phase |
| Security | Enterprise, at enterprise cost | Rarely | SOC 2 Type II operations, HIPAA-experienced, WatchGuard Gold Partner |
| Data foundations | A separate data-lake program | Skipped | Scoped to the workload, built into every phase |
| Where it runs | Their preferred cloud | Wherever it was left | Private cloud, on-prem DGX, public or hybrid |
| Models | The partner's stack | One API key | Multi-model, routed per workload for accuracy and cost |
| After launch | A support contract | Good luck | We operate what we build, from $5,000 / month |
| Products of their own | Frameworks and decks | None | AI Foundation, VaultMind, PDI Checker, Vivotal, Hybri |
| What the board sees | A quarterly steering deck | Nothing | A monthly evidence report tied to the ROI model |
For funded companies · Seed to Series D · and the boards behind them
You raised to hit outcomes on a clock: grow faster, ship the next product, rebuild the platform so it scales and costs less, close the security gaps that stall enterprise deals, and be ready for the next round, an exit or a spin-off. Hiring a senior AI, platform and security team takes two quarters you don't have; a global SI takes longer and sends a bench. Periscope is the third option: one senior team, fixed-scope and milestone-priced, reporting to your board every month, with most of our work in healthcare, fintech and insurance.
Six strategic-project tracks
Growth
Go-to-market rebuilt around forward-deployed engineers, FDE pods that sit with customers and land the expansion, plus the agentic Sales & Marketing Workflow keeping the top of the funnel full.
New products
AI inside the product, built on AI Foundation and shipped in weeks, with evals and cost telemetry from day one, the feature set that makes the niche defensible.
Platform rebuild
Cloud and AI platform sized for the next stage, legacy retired, FinOps on the bill. The margin story for the next raise.
Security & compliance
SOC 2 / HIPAA readiness, non-human identity and secrets governance, 24×7 monitoring, the diligence items that block enterprise deals and weigh on the multiple.
Exit & spin-off readiness
What an acquirer's diligence will find, fixed before they find it, and for carve-outs, a plan for the systems, data and licenses that leave with the entity.
M&A technology due diligence
Buy-side or investor-side, fixed fee per target, typically 2–3 weeks: architecture, code, security, data and run-rate, ending in a report a deal team can act on.
From a team that has operated a venture-backed platform for five-plus years, ships its own products, and has cleaned up after a live supply-chain attack.
How the engagement ladders
Post-raise planning session free · 45 min · CEOs, CTOs & boards
Map what the round has to fund against what a specialized team costs versus hiring. The plan is yours either way.
Value-Creation Diagnostic per company · fixed fee · typically 2 weeks
Replatform cost and benefit, AI product roadmap, GTM / FDE plan, security gap list and a 12-month ROI model, ending in a go / no-go you can take to the deal team.
90-day acceleration milestone-priced
The two highest-ROI moves from the diagnostic, delivered by a senior pod with milestones tied to the ROI model, not to hours.
Operate and report monthly · board-ready
We run what we built, with an evidence report each month: run-rate, delivery velocity, pipeline and security posture.
Portfolio terms for investors
One rate card across the portfolio; shared AI Foundation, security monitoring and pods; and, where it fits, a portion of fees tied to agreed outcomes.
How We Engage
Every engagement, product, platform, or retirement, runs the same shape: small first steps, clear success criteria agreed up front, and a decision point at the end of every phase.
Managed security · WatchGuard Gold Partner
Need the monitoring covered, with or without an AI project?
24×7 monitoring, threat detection and response, with SOC 2, HIPAA and PCI reporting, and the non-human identities, tokens, keys and agent credentials, governed alongside. Priced per environment after a free posture review.
Start Here
30 minutes, a senior engineer, and an honest read, including "don't build that yet" when that's the truth. Or take the 3-minute score at the top of the page.
Book 30 minutes with an engineerinfo@periscope-tech.com · +1 800 240 7682 · SF Bay Area + Mumbai